Top Software Engineer Jobs Openings in 2025

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About Sana Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when humans can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments humans. If that is a mission that excites you, you are in the right place.About the rolesYou will work on the core backend systems that power Sana’s Learn platform and search infrastructure. You will redesign and scale systems to handle enterprise workloads, remove deep bottlenecks, and evolve our architecture for the era of AI and agents.We are hiring for two senior roles:Senior Backend Engineer, Learn (Core Systems)Senior Backend Engineer, Search1. Senior Backend Engineer, Learn (Core Systems)About the roleYou will focus on making the Learn platform, especially Manage, Insights, and APIs, scalable and maintainable for enterprise use. You will take systems that work at current scale and redesign them to handle much larger volumes of data, users, and entities. The work is primarily architectural and system level, with strong emphasis on Postgres and database design.In this role, you willRedesign existing components to support enterprise scale workloadsAnalyze and resolve bottlenecks in storage, query performance, APIs, and data modelsLead migrations away from legacy implementations to sustainable replacementsImprove reliability and efficiency of APIs and integrations for internal and external clientsDrive technical projects from definition to delivery with Product Managers and other teamsMaintain a long term view of system health and architectureShare technical knowledge, review designs, and set best practices for backend and systems designWhat success looks likeArchitecture and scalability are prioritized over short term fixesRisks are identified early and addressed with solid technical solutionsYou balance hands on coding with architectural leadershipLearn core systems support larger enterprise customers without performance or reliability issuesStrong Postgres skills (schema design, query optimization, indexing) improve performance and scalability2. Senior Backend Engineer, SearchAbout the roleYou will build and scale Sana’s search infrastructure for enterprise scale knowledge discovery. You will architect retrieval systems, ranking algorithms, and search APIs that handle large increases in volume while maintaining sub second latency and high relevance. You will rethink the search stack for the era of agents, using engines like Vespa, vector databases, and embedding models.In this role, you willArchitect and scale search infrastructure to billions of documents in multi tenant environmentsDesign hybrid search that combines keyword search with semantic understanding and vector searchBuild ranking and personalization systems that learn from user behaviorCollaborate with AI engineers to integrate large language models into the search pipeline and build retrieval augmented systemsOptimize search performance across query parsing, index design, and distributed architectureLead development of search observability and quality frameworks with clear metrics and monitoringWork closely with product and design to shape the future of knowledge discovery at SanaWhat success looks likeSearch systems scale elegantly to billions of documents and millions of queries with strict latency targetsSystems apply proven IR techniques and practical advances in semantic AI retrievalSearch quality issues are detected early through strong observability and automated regression checksYou balance implementation with system design and mentor others on search and IR fundamentalsDeep expertise in search infrastructure (index optimization, query planning, distributed retrieval, caching) prevents performance issues before users see themThe stack evolves from traditional search to AI powered discovery, including embeddings, reranking, and RAG, while staying reliableSearch infrastructure supports enterprise deployments with strict SLAs, multi tenancy isolation, and very high uptimeWhat we offerHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary and compensation packageSwift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Code generation and code review Prompt evaluation and complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages Adapting guidelines for new domains and use cases Following project-specific rubrics and requirements Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.RequirementsYou hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Mobile App Development, Cloud Computing, Data Science, Big Data or other related fields.You have at least 3 years of professional experience in Java 17+, including streams API and concurrent programming.Your level of English is advanced (C1) or above.Hands-on experience with JUnit 5, TestNG, Mockito, and TestContainers.Proficiency with build tools (Maven, Gradle), IDEs (IntelliJ IDEA), and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).Experience with the Spring ecosystem (Spring Boot, Spring Data, Spring Security), JPA/Hibernate.Strong understanding of JVM internals, garbage collection, performance optimization, and design patterns.Experience with messaging systems (Kafka, RabbitMQ) and microservices architectures.Practical use of AI-assisted tools for refactoring, performance analysis, and test generation.Familiarity with cloud platforms (AWS, Azure), containers, and Kubernetes.Strong skills in JVM profiling (JProfiler, VisualVM) and debugging.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Code generation and code review Prompt evaluation and complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages Adapting guidelines for new domains and use cases Following project-specific rubrics and requirements Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.RequirementsYou hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Mobile App Development, Cloud Computing, Data Science, Big Data or other related fields.You have at least 3 years of professional experience in Java 17+, including streams API and concurrent programming.Your level of English is advanced (C1) or above.Hands-on experience with JUnit 5, TestNG, Mockito, and TestContainers.Proficiency with build tools (Maven, Gradle), IDEs (IntelliJ IDEA), and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).Experience with the Spring ecosystem (Spring Boot, Spring Data, Spring Security), JPA/Hibernate.Strong understanding of JVM internals, garbage collection, performance optimization, and design patterns.Experience with messaging systems (Kafka, RabbitMQ) and microservices architectures.Practical use of AI-assisted tools for refactoring, performance analysis, and test generation.Familiarity with cloud platforms (AWS, Azure), containers, and Kubernetes.Strong skills in JVM profiling (JProfiler, VisualVM) and debugging.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Code generation and code review Prompt evaluation and complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages Adapting guidelines for new domains and use cases Following project-specific rubrics and requirements Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.RequirementsYou hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Mobile App Development, Cloud Computing, Data Science, Big Data or other related fields.You have at least 3 years of professional experience in Java 17+, including streams API and concurrent programming.Your level of English is advanced (C1) or above.Hands-on experience with JUnit 5, TestNG, Mockito, and TestContainers.Proficiency with build tools (Maven, Gradle), IDEs (IntelliJ IDEA), and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).Experience with the Spring ecosystem (Spring Boot, Spring Data, Spring Security), JPA/Hibernate.Strong understanding of JVM internals, garbage collection, performance optimization, and design patterns.Experience with messaging systems (Kafka, RabbitMQ) and microservices architectures.Practical use of AI-assisted tools for refactoring, performance analysis, and test generation.Familiarity with cloud platforms (AWS, Azure), containers, and Kubernetes.Strong skills in JVM profiling (JProfiler, VisualVM) and debugging.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $24/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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About SesameSesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.About the RoleAs a Backend Infrastructure Engineer at Sesame, you will work across the stack, with an emphasis on backend, infrastructure, and systems. You should feel comfortable working on any typical software project, with the ability to quickly learn new tools and services with a strong intuition on software development and software deployment best practices.Responsibilities: Build a secure, maintainable, self-serve core infrastructure.Build a modern training architecture and a modern serving architecture.Build and scale a low-latency voice interface and audio processing pipeline.Build low maintenance, high leverage developer tooling, server, and data infrastructure.Required Qualifications:Ability to set, own, and communicate direction.  Hands-on reliability engineering experience. You hold convictions about monitoring and observability methodology, deployment systems, loosely coupled components, etc.Experience shipping services at scale.Experienced systems designer in designing and shipping flexible domain models and APIs.A track record of delivering efficiency through automation.Experience solving challenging infrastructure problems (using the tools below). Preferred Qualifications:Significant IaC experience (Terraform preferred).CloudFormation, Pulumi, Kube-based, etc. Architected a multi-stack, self-serve Terraform system, or maintained one.Understand the challenges of building infrastructure at scale.Significant Kubernetes experience.Some ML experience.Torch experience, especially model optimization for serving.General ML training or serving experience. Built ML serving and/or training infrastructure.Experience in Torch Serve, Seldon, KServe, Ray Serve, etc.Experience building large-scale distributed training and serving systems.Data engineering experience.Technical leadership.Database design.Real-time communication experience.Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact careers@sesame.com for assistance.Full-time Employee Benefits: 401k matching100% employer-paid health, vision, and dental benefits Unlimited PTO and sick time Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers

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The RoleWe are looking for a well-rounded AI/ML Systems Engineer to join our team and build LM Studio with us. The ideal candidate loves working at the intersection of machine learning and systems engineering, is a prolific problem solver, and is passionate about building great products. Specifically, you will build and evolve on-device inference engines and integrations for local LLMs and other AI technologies in LM Studio. In this role you will design and maintain the runtime that powers on-device model inference, ship day-0 support for new models, and optimize performance across a wide range of hardware configurations.You will work closely with model authors and upstream open-source communities (e.g., llama.cpp, MLX, and more) to ensure LM Studio users have access to the latest and greatest AI experiences. This role might be for you if you are passionate about living at the boundary between models and systems, and you care deeply about shipping great local AI-powered experiences for both end users and developers.ResponsibilitiesBuild and maintain world-class on-device inference engines for LLMs and other models.Integrate emerging AI/ML technologies as production-ready features in LM Studio.Develop with and contribute to OSS engines like llama.cpp, MLX, and more.Collaborate closely with model authors to ship day-0 support for new models.Profile, debug, and improve process memory, CPU usage, and GPU usage.Be an excellent communicator, contributor, and collaborator.Qualifications3+ years of experience with C++ and Python. TypeScript experience is a plus.2+ years of experience with machine learning frameworks and model inference.Excellent problem-solving and communication skills.Strong understanding of operating systems.Strong understanding of software system design.Into local LLMs and have tinkered with them in LM Studio.Passionate about a great user and developer experience.Element LabsWe aim to build delightful and potent creation tools for AI. We are a small team based in New York. Everyone on the team is IC-minded, intellectually curious, self-motivated, and loves software. We care deeply about our user community and we strive to build canonical software that users and developers love.Our products include the LM Studio desktop app, our developer SDKs: lmstudio-js and lmstudio-python, our CLI lms, MLX engine mlx-engine for M-chip Macs, venvstacks which enables us to ship Python-based software, the collaboration Hub for individuals and teams, and more currently being built.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey is building the future of legal work, and we’re looking for an Engineering Manager to help lead the charge. Our Document Platform team sits at the core of our platform—enabling our AI systems to make sense of massive troves of legal documents. From OCR to vector storage, our systems must be fast, accurate, and scalable to meet the demands of the top law firms in the world.You’ll lead a team of exceptional engineers to extend our capabilities, push the boundaries of what’s possible in document understanding, and ensure our infrastructure scales with our users.We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you.What You'll DoLead and grow a team of world-class engineers working on document ingestion, understanding, and retrieval.Define and execute a long-term technical roadmap for our document processing systems that aligns with Harvey’s product vision and the needs of our customers.Collaborate closely with Product, Infrastructure, and Applied AI teams to design robust systems that bridge cutting-edge research and production readiness.Stay hands-on: unblock engineers, participate in architecture reviews, and dive into code when needed.Cultivate a culture of engineering excellence, thoughtful experimentation, and continuous improvement.What You Have2+ years of experience in a software engineering management role, leading backend teams operating in technically complex domains.A track record of leading high-performing, engaged engineering teams.A strong foundation in backend systems, with 5+ years of hands-on experience designing and operating distributed systems in a cloud environment.Ideally, direct experience in architecting or scaling document ingestion and processing, search systems, or data infrastructure (e.g. OCR pipelines, Elasticsearch, vector databases).Compensation Range$260,000 - $330,000 USDPlease find our CA applicant privacy notice here.#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Zoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.  The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.    As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms & resource allocation.In this role, you will: Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate & analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures.Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams.Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency.Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU.QualificationsBS in computer science or related field and 7+ years of experience.Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight.Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments.Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).Bonus QualificationsExperience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT & XLA.Hands-on work with ML model optimization (post-training quantization, layer pruning, etc) or hand-tuning GPU kernels (in OpenGL, CUDA, RocM or similar).Proficiency with SQL, DataBricks, Looker, or other business intelligence tools. 217,000 - 307,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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About the Company:Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!We are looking for an SDE II – Agentic Engineer to build and scale agentic workflows and tools using Netomi’s no-code platform. This role requires strong software engineering fundamentals combined with prompt engineering and API-driven automation to power reliable, autonomous AI agents.Key ResponsibilitiesDesign and write high-quality prompts for LLM-based agents (GPT-class models preferred).Build agentic tools and workflows using Netomi’s no-code platform (similar to Workato, Zapier, n8n).Integrate external and internal APIs, including authentication, data mapping, and error handling.Implement unit tests, debug issues, and ensure reliability of agent workflows.Apply engineering best practices and design patterns such as retries, timeouts, idempotency, and lazy loading.Optimize agents for performance, cost, and fault tolerance.Collaborate with Product, QA, and Delivery teams to ship production-grade agentic solutions.Required Skills & Qualifications3–6 years of experience as a Software Development Engineer or similar role.Strong understanding of prompt engineering and LLM behavior.Hands-on experience with REST APIs, webhooks, and JSON-based integrations.Solid experience in unit testing, debugging, and troubleshooting.Knowledge of resilient system design patterns and non-happy path handling.Nice to HaveExperience with no-code/low-code automation platforms.Exposure to agentic AI, conversational AI, or workflow orchestration systems.Familiarity with observability and monitoring in production systems.Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started. Role OverviewAs a Product Backend Engineer on Harvey’s product engineering team, you will design and operate the backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences. You’ll build secure, multi-tenant services, orchestrate interactions with LLMs and agentic tools, and help define the backend architecture that powers Harvey’s rapidly expanding product surface. Your work will have immediate business and customer impact as you ship the foundational systems behind our next generation of AI products.What You'll DoCollaborate closely with Product to prioritize customer-focused work and deliver reliable features quickly in a fast-moving environment.Design and own backend services and APIs that power Harvey’s web applications, workflows, and integrations.Model and manage data in Postgres and related data stores to support low-latency, reliable user experiences.Build secure, multi-tenant, permissions-aware systems with appropriate auditing for enterprise and government customers.Implement backend features and workflows that use LLMs and agentic tools, orchestrating calls to our AI systems from robust, well-structured services.Collaborate with frontend, product, and design partners to shape solutions, define clear API contracts, and ship features end-to-end.Add meaningful logging, metrics, and tracing so services are observable, debuggable, and ready for on-call ownership.Improve performance and scalability by profiling bottlenecks, tuning queries, and refining service boundaries as usage grows.Participate in code reviews, technical design discussions, and an on-call rotation for the services you own.What You Have5+ years of backend engineering experience building and operating production web applications or SaaS products.Track record of building fast-growing SaaS products by leveraging PWA technologiesTrack record of shipping highly intuitive products, strong attention to detailStrong programming skills in Python and experience with a modern web framework (e.g., FastAPI or Flask).Hands-on experience with relational databases (e.g., Postgres)Solid understanding of API design, authentication/authorization, background job patterns, and robust error handling.Experience building for Cloud Infrastructure such as Azure, AWS, or GCP.Comfort operating services in production using logs, metrics, dashboards, and alerts, including participation in an on-call rotation.#LI-KV1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About the Team The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. In this role, you will:Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systemsIntegrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.Collaborate closely with product, research, and engineering teams to integrate OpenAI models into high-leverage workflowsOwn the full development lifecycle of new backend systems and internal platform capabilitiesBuild with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have:4+ years of backend engineering experience at product-driven companies (excluding internships)Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and PostgresExperience designing and scaling distributed systems, APIs, or data processing pipelinesA pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term visionAn interest in structured knowledge representation, internal search, agent infrastructure, or systems that evolve over time Curiosity about AI/ML and excitement to work alongside world-class research and product teams (hands-on experience is a bonus, not a must)About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Nooks.ai:Nooks is the AI Sales Assistant Platform (ASAP) that automates the busywork so reps can focus on the human part of selling and generate more sales pipeline. Nooks has helped thousands of sales reps hit quota, saved customers hundreds of thousands of hours, and powered hundreds of millions of dollars in pipeline. Nooks is loved by sales teams at companies like Hubspot, Rippling, and Toast, and hundreds more. For more information, visit Nooks.ai http://Nooks.ai.About the Role: We are looking for a Senior Engineer to join our engineering team. In this role, you will work at the forefront of LLMs and AI agents to transform the way enterprises do outbound sales and generate pipeline. You will have the opportunity to help scale our existing products and build new products alongside our customers. As a senior member of the team, you'll work closely with the engineering leadership team to shape technical and product vision. If you're passionate about working in a fast-paced environment and help build a category defining sales product, we want to hear from you.What you’ll do:Build and maintain scalable, high-performance applications across the full stackLead the design and implementation of new features in our core platformCollaborate closely with product, design, and other engineering teams to deliver impactful solutionsArchitect and develop front-end components using React and TypeScriptWork on back-end services and APIs with Node.js and PythonMentor and guide junior engineers in best practices, coding standards, and architectural principlesOwn the end-to-end delivery of features, from ideation to productionContinuously improve the performance, scalability, and reliability of our applicationsContribute to the company’s technical roadmap, setting standards for code quality and development processesHelp define and evolve the team’s engineering cultureWe’re looking for someone who has:At least 8 years of experience in full-stack engineering, with expertise in React, TypeScript, Node.js, and PythonProven technical leadership experience for at least 1 year, ideally with some experience in mentoring junior engineersDemonstrated ability to thrive in fast-paced and high-growth environmentsStrong communication skills and the ability to work effectively in a team-oriented environmentPast experience working at a startup or fast-growing tech company Compensation at Nooks for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options, comprehensive health, dental, vision, life and disability insurance coverage, hybrid work, and unlimited paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $250K - $325K annually.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Nooks is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.Equal Employment Opportunity StatementNooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.

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At Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like Linear, Figma, Riot Games, Anthropic, Spotify, Arc’teryx, and Morningbrew are using Sanity to power and automate their content operations.AI is fundamentally changing how developers build applications. Vibecoding tools are seeing hundreds of thousands of signups per month, and professional developers now use AI-powered tooling as standard. Your team will capture this wave by building native integrations with the fastest-growing developer tools, improving our MCP server (incl. MCP Apps with UIs), and creating agentic builders that let anyone set up Sanity through natural language. You'll combine Growth's experiment-driven culture with deep technical work on AI developer experience. This is Sanity's biggest acquisition opportunity for product growth, and your team owns it end-to-end.Here's some of what the team has shipped recently:Sanity MCP Server – our remote MCP server, now generally available and listed as one of eight official MCP servers in Vercel's v0.Sanity Agent Toolkit – agent rules exposed via MCP, plus a Claude Code plugin with skills and slash commands.Auto-configured MCP in the CLI – the Sanity CLI automatically detects code editors and configures the MCP server for you.What you would do:Lead a team of engineers – help them prioritize for impact, grow in their careers, and do the best work of their lives.Own strategy, roadmap, and execution – work closely with your product and design partners to decide what to build and make sure it ships.Drive growth metrics – activation rates, signups from integrations, developer adoption. You'll know what's working because you're measuring it.Ship fast and iterate – run experiments, learn from failures, and double down on wins. The vast majority of experiments fail, so we value speed and pragmatism over perfection.Build AI developer tools – MCP integrations, agentic builders, and partnerships with the platforms where developers are building today.Build platform integrations – connect Sanity to the tools teams already use, like storage providers (Google Drive, Dropbox) and analytics platforms.Set technical direction – guide architecture decisions that balance velocity with maintainability across TypeScript, React, and Node.js, & Go microservicesCollaborate across the company – align with engineering leadership, marketing, and partnerships on shared growth metrics and goals.About you:Based in San Francisco – able to work from the office regularly.1+ years of engineering management experience – ideally in growth or experimentation-heavy environments.Strong full-stack technical skills – deep experience with TypeScript, React, Node.js, and Next.js. You can review code, guide architecture decisions, and jump in when needed. Not looking for managers who've drifted far from the code.Actively using MCP and AI tools – you've used MCP servers in your own workflow and have opinions on tools like Cursor, Claude Code, Lovable, and v0. You can articulate the differences between Claude Opus 4.5, Gemini 3, and GPT-5.2.Growth engineering experience – you've run A/B tests, optimized funnels, and made data-informed decisions. Familiarity with tools like GrowthBook, Amplitude, or similar.Strong cross-functional collaborator – you work well with product, design, marketing, and partnerships, and you're effective at managing stakeholders across the company.Comfortable with ambiguity – you can drive clarity when the path isn't obvious and make good decisions with incomplete information.Bias for action – you'd rather ship something and learn than plan forever. You know when to be scrappy and when to invest in quality.Not sure you meet every requirement? If you're excited about leading at the intersection of AI and growth, we want to hear from you. What we can offer:A highly-skilled, inspiring, and supportive teamPositive, flexible, and trust-based work environment that encourages long-term professional and personal growthA global, multi-culturally diverse group of colleagues and customersComprehensive health plans and perksA healthy work-life balance that accommodates individual and family needsCompetitive stock options program and location-based salarySalary Range: $240K - $290K annually. Final compensation within this range will be determined based on the candidate’s experience and skill set.Who we are:Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here!Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** Software Engineering ManagerEngineering at Mirage isn’t narrowly defined. As a small, collaborative team, engineers are trusted with a high degree of ownership and agency. As an Engineering Manager, you’ll lead and grow a world-class team of software engineers while providing clear direction and stability. You’ll be responsible for driving technical excellence, fostering growth and collaboration, and building foundational capabilities across product, infrastructure, and core platforms. ResponsibilitiesOversee the design and operation of our core platform (3rd party providers, storage, billing, observability, security, API).Provide technical leadership for various product and platform featuresImprove developer experience so the whole team ships fasterGuide efforts that bridge AI research to production across all modalities (video, audio, image, text)Understand the capabilities and limitations of SOTA AI models and how to best leverage them in productsPartner with product, design, and research to keep our development tightly aligned with user needs and business objectivesWhat Makes You a Great FitA track record of building, mentoring, and managing high-performing engineering teamsExperience shipping high-impact systems, platforms, and products in productionExcellent judgment: you balance technical discernment with a strong sense of practicality and time managementAble to operate effectively in an extremely fast-paced environment, while setting your team up for sustainable successStrong communicator who can inspire and align a multidisciplinary teamEven Better If...You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is goingYou are grounded, collaborative, and willing to do whatever it takes to help the team winYou have been a startup founder or an early engineer at oneBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** Software EngineerWe don’t use hierarchical titles or levels internally, but are currently hiring engineers who have operated at senior or staff+ scope. As a small, collaborative team, our engineers are trusted with a high-degree of ownership and agency.Engineering at Mirage isn’t narrowly defined: we work across three archetypes, and most of us span more than one.Product EngineeringShip end‑to‑end product surfaces for creative and commercial workflows.Understand the capabilities and limitations of SOTA AI models and how to best leverage them in products.Instrument, A/B, and iterate rapidly with production data.Talk to users.Platform and InfrastructureDesign and operate our core platform: (i.e. 3rd party providers, storage, billing, observability, security, API).Set technical direction for various product and platform features.Improve developer experience so the whole team ships faster.Build tools and integrations for non-engineering teams across the company to ensure they are set up to excel.Applied AIBridge research to production across all modalities (video, audio, image, text).Build tools for the research team: evals, dataset curation.Blend our research models with external models to prototype new product experiences.What Makes You a Great Fit5+ years of professional industry experienceA track record of shipping high‑impact systems and/or products in production.Exceptional problem solving fundamentals and ability to learn.Excellent engineering taste combined with a strong sense of practicality and time-management.Able to operate effectively in an extremely fast-paced environment as well as scope and deliver projects end-to-end.Even better if...You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is going.You are grounded, collaborative, and willing to do whatever it takes to help the team win.You have been a startup founder or an early engineer at one.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.

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About the Methods SquadThe Methods squad works across the stack to build AI-native applications that power the next wave of innovation in engineering. We build and own the core software components of the platform, developing methods for 3D data generation and visualization, surrogate modelling and optimization, and integration with external CAE and CAD software.What You Will DoAs a full-stack engineer in the Methods Squad, you will contribute to core systems of the platform, helping translate advanced methods into reliable engineering workflows.You will:Develop high-performance applications to embed AI within 3D design optimization workflows.Architect and implement optimized, intuitive APIs with an emphasis on usability reliability and performance.Support the development of advanced database and unstructured data management systems.Build intuitive and interactive user interfaces, such as dashboards and tools for exploring, visualizing, and manipulating 3D engineering data.Partner with product and design teams to define problem statements and develop solutions that measurably enhance user value.Who You AreYou are an all-round software engineer. More than “full stack”, you think systems and outcomes, and you’re excited to apply this to the next generation of AI-powered engineering software.You bring:Proven experience building full-stack software from the ground up, as well as contributing to complex codebases – with Python in particular.Frontend engineering experience to build delightful interfaces with modern frameworks and TypeScript.Experience with scientific data visualization.Engineering-related background with strong interest in mechanical engineering and/or related disciplinesThoughtful software architecture and API design for scalable and efficient development.Exposure to CAD/CAE tools is a plusA product-driven mindset, focused on delivering user value and building high-quality productsClear communication, proactive teamwork, and thorough documentation that enhances team efficiencyWhat you getWork with a world-class technology team – our engineers are top-notch, and we always aim for excellence.Benefit from a competitive salary and rewarding opportunities as we continue to scale.Thrive in a collaborative, multicultural environment where your work is visible and recognized.Develop professionally alongside talented colleagues who share knowledge freely and support one another.Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

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Meet Eloquent AIAt Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments.We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services.Your RoleAs a Full-Stack Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows.This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions.You will:Design and build full-stack applications that power AI-driven workflows for enterprise users.Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation.Optimize AI-powered UIs to ensure seamless and intuitive user experiences.Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications.Ship robust, minimal-dependency code that performs efficiently in enterprise environments.Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility.Requirements7+ years of hands-on experience building full-stack production applications.Proficiency in modern web technologies, including React, TypeScript, and Node.js.Experience with backend development using Python.Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.Understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows.Ability to work in a fast-paced, high-autonomy environment, solving complex problems and delivering impact.Strong collaboration skills, with experience working in cross-functional teams with engineers, designers, and AI researchers.Bonus Points If…You have experience building AI-powered applications with LLM integrations.You’ve worked in high-performance startups or enterprise AI environments.You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces.You have experience with GraphQL, WebSockets, or real-time data streaming.You’ve contributed to open-source projects or have built developer tools for AI.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where iOS is a core platform, not an afterthought.This is a founding iOS role. You’ll design AI-powered mobile systems that balance UX excellence with the realities of AI latency, streaming, and failure modes.Why This Role MattersYou define how AI feels in users’ handsYou bridge backend intelligence with human interactionYou help establish iOS engineering standards from zeroYou influence product direction through what’s possible on-deviceWhat You’ll DoBuild and maintain iOS apps using Swift / SwiftUIIntegrate AI-powered features via backend APIsImplement camera, microphone, and media pipelinesDesign UX for AI interactions (loading, streaming, retries, fallbacks)Optimize performance, memory, and battery usageCapture user feedback and signals for AI evaluationCollaborate with backend and AI teams on API designMaintain high App Store quality and production stabilityWhat It’s Like to Work HereYou own features end-to-endYou design systems, not just screensYou think deeply about latency, reliability, and UX tradeoffsYou move fast, test in production, and iterateYou work closely with senior engineers and foundersRequirements3+ years of iOS development experience (Swift)Hands-on experience integrating AI featuresStrong understanding of async/await and background tasksExperience with camera, audio, and local storageSolid iOS performance and memory optimization skillsExperience shipping production appsNice to HaveExposure to CoreML or on-device MLBuilt AI chat, voice, or streaming-based appsExperience with feature flags or remote configStrong intuition for AI UX patternsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where backend systems are not glue - they are the control plane that connects models, data, users, and product experiences.This is a founding backend role. You will design and build the systems that orchestrate models, manage prompts and evaluation, and power every AI interaction users experience - under real-world constraints like latency, cost, failures, and scale.Why This Role MattersYou power every AI interaction users experienceYou shape how models are orchestrated, evaluated, and improvedYou directly affect cost, latency, and reliabilityYou build real production AI infrastructureWhat You’ll DoDesign and implement backend services for AI-powered appsIntegrate LLMs, vision, speech, and other modelsBuild orchestration pipelines (agents, tools, workflows)Implement prompt management and versioningBuild evaluation, logging, and feedback systemsDesign scalable APIs for mobile and web clientsHandle retries, caching, rate limits, and fallbacksEnsure security, privacy, and cost controlRequirements4+ years backend engineering experienceHands-on AI model integration experienceStrong proficiency in Python, Node.js, or GoExperience designing REST/gRPC APIsUnderstanding of AI latency and cost tradeoffsNice to HaveBuilt AI systems used in productionExperience with RAG, vector DBs, or agent frameworksDesigned evaluation or monitoring systemsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.