Top AI Engineer Jobs Openings in 2025

false

About Us:Hippocratic AI is building safety-focused large language model (LLM) for the healthcare industry. Our team comprised of ex-researchers from Microsoft, Meta, Nvidia, Apple, Stanford, John Hopkins and HuggingFace are reinventing the next generation of foundation model training and alignment to create AI-powered conversational agents for real time patient-AI interactions.About the Role:We are looking for an Agent Architect to design, develop, and innovate the next generation of agentic systems that drive our healthcare-focused AI platform. This individual will serve as a central architect in shaping how our agents think, act, and interact across diverse clinical use cases.You will be responsible for selecting the right agentic paradigms—ranging from tool use, retrieval-augmented generation (RAG), and prompt engineering, to model training—and defining the underlying architecture for intelligent, safe, and responsive agents. You will work closely with our research, engineering, and evaluation teams to integrate cutting-edge techniques and continuously push the boundaries of agent capabilities.This role blends deep technical knowledge with strategic thinking and experimentation. It’s ideal for those who thrive at the intersection of LLM system design, product innovation, and applied AI research.Responsibilities:Architect and design new AI agents across a variety of clinical and operational use casesEvaluate and select the optimal agentic paradigm for each scenario (e.g., tools, engines, prompting, RAG, model training)Choose the appropriate models from our internal model library for specific tasksCollaborate with the research team to fine-tune models and optimize agent behaviorDefine and iterate on evaluation protocols in partnership with the evaluation teamDevelop new agent patterns and workflows to enable novel capabilities and interactionsRapidly incorporate state-of-the-art techniques from the latest scientific literature and open-source developmentsTrack and integrate capabilities from emerging foundational models to improve system performance and scopeRequired Qualifications:5+ years in a technical field such as software engineering, machine learning, data science, or AI product developmentDeep understanding of agentic system design and language model behaviorsProficiency with Python and modern ML toolingExperience building and evaluating non-deterministic AI/ML systemsStrong analytical and problem-solving skills, with an experimental mindsetFamiliarity with LLM paradigms such as prompting, RAG, fine-tuning, and tool usePreferred Skills:Experience designing agentic workflows or orchestration frameworks for LLMsBackground in AI research or exposure to cutting-edge developments in NLPAbility to translate complex technical ideas into scalable architecturesInterest in healthcare applications, patient interaction design, and safety-critical systemsExcellent written and verbal communication skills, with the ability to clearly document design decisions and evaluationsCandidate Background:We recognize that agent architecture is a novel and rapidly evolving field. Ideal candidates may come from varied backgrounds such as applied ML engineering, AI product design, prompt engineering, or even NLP-focused research roles. If you are excited about designing intelligent systems from the ground up and want to shape how LLMs interact with the world in a safe and impactful way, we encourage you to apply.Why Join Our Team:Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.

false

Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As Senior Engineering Manager for the Perception engineering team at Labelbox, you will lead a team that builds easy-to-use and efficient tools that support the development of cutting-edge AI systems like those for generative AI and computer vision. In this role, you will manage the team’s daily operations, including sprint planning, daily standups, and one-on-one meetings, ensuring smooth execution and continuous progress. You will also contribute technical expertise in full-stack development, guiding the team in building robust and efficient systems. Collaboration is key—you will work closely with other engineering teams to align on architecture, share best practices, and drive cross-functional initiatives. This role requires a strong foundation in full-stack frameworks. Your Impact Drive engineering excellence by providing technical leadership and guidance, ensuring the team delivers high-quality, scalable, and reliable systems. Foster a high-performing team by recruiting top talent, mentoring engineers, and supporting career growth through skill development and progression plans. Ensure efficient execution by leading sprint planning, prioritizing tasks, and maintaining alignment with business objectives while meeting deadlines and quality standards. Shape system architecture by collaborating with engineers to design robust, scalable infrastructure that meets evolving business and technical needs. Enable cross-functional success by working closely with other engineering teams to align priorities and translate stakeholder needs into impactful deliverables. Improve developer productivity by ensuring infrastructure, tools, and processes support efficient development while maintaining security, reliability, and scalability. Stay at the forefront of technology by keeping up with industry trends, integrating new insights into engineering practices, and contributing to technical documentation to support knowledge sharing. What You Bring Bachelor’s degree in Computer Science or a related field (Advanced degree preferred). Proven technical leadership with 4+ years of experience in full-stack development and 2+ years managing highly technical engineering teams. Strong software design and architecture skills, with experience in API development, schema design, etc. Expertise in programming languages such as TypeScript and Python, with a disciplined approach to software development focused on testing and quality. Hands-on experience with front-end frameworks like React. Project management expertise, including experience with agile methodologies and tools like Jira, demonstrating ownership of end-to-end project delivery. Exceptional communication and collaboration skills, enabling effective teamwork across engineering, product, and design teams. Ability to thrive in fast-paced environments, with a proactive, problem-solving mindset and a willingness to dive deep to drive results. Bonus: Experience with leveraging large language models (e.g., GPT-4, Gemini) for product development, and working with AI service APIs (e.g., text-to-speech, speech-to-text, translation, transcription). Engineering at Labelbox At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems. Our Technology Stack Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency: Frontend: React.js with Redux, TypeScript Backend: Node.js, TypeScript, Python, some Java & Kotlin APIs: GraphQL Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes Databases: MySQL, Spanner, PostgreSQL Queueing / Streaming: Kafka, PubSub Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$220,000—$250,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

false

📐 About this role Writer is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts. At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI engineer at Writer, you'll play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software engineers, data scientists, and researchers, you'll be able to design and deploy AI solutions that drive our innovative products. If you’re passionate about using AI to transform the enterprise, then we want to hear from you.🦸🏻‍♀️ Your responsibilities Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilitiesEvaluate the performance of AI models & systems through rigorous testing and experimentation.Deploy LLM-based applications in production, evaluating and improving their performance over timeCollaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency.Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions.Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systemsImplement strong testing and CI/CD practices that help us move with confidence in our AI system development⭐️ Is this you? Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experienceHigh level of coding proficiency using Python5+ years of professional experience in software engineering, AI/ML development including:Proficiency with production software (Python) and systems designMachine learning algorithms and model development techniquesML lifecycle tools like MLflow, dvc, weights & biasesCloud deployment of ML systemsProfessional experience with LLMs and large-scale modelsVery strong software engineering skillx with a track record of building scalable, distributed product machine learning systemsStrong analytical and problem-solving skillsAbility to communicate complex ideas and concepts effectivelyAbility to work independently and collaboratively Preferred Skills:Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etcDepth of knowledge with RAG implementation and improvements🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options#LI-Hybrid

false

Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces.Towards this goal, we are looking for a member of the AI technical staff to join the founding team. Someone technically strongly, and excited about building superhuman AI agents that take actions on the web.Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori’s mission.Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.Responsibilities:Build a superhuman generalist web-agentScale infra, data, algorithms for large-scale distributed async reinforcement learning with multimodal LLMs acting in web environmentsWork closely with product engineers to translate cutting-edge AI capabilities into elegant and reliable product experiences.What we’re looking for:Experience with large-scale RL, ideally for post-training multimodal LLMsExperience building distributed systems for RL (balancing trainer, environment, actor workloads)Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.Benefits and perks:Competitive salary and equityVisa sponsorship and relocation stipend to bring you to SFGenerous health, dental, vision insurance for you and your dependents20 days of paid time off per yearWork laptop and budget to set up your work officeDaily team lunchesCommuter benefitsSmall, focused team of high-potential individuals. In-person in SF.

true

📐 About this role Writer is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts. At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI engineer at Writer, you'll play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software engineers, data scientists, and researchers, you'll be able to design and deploy AI solutions that drive our innovative products. If you’re passionate about using AI to transform the enterprise, then we want to hear from you.🦸🏻‍♀️ Your responsibilities Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilitiesEvaluate the performance of AI models & systems through rigorous testing and experimentation.Deploy LLM-based applications in production, evaluating and improving their performance over timeCollaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency.Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions.Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systemsImplement strong testing and CI/CD practices that help us move with confidence in our AI system development⭐️ Is this you? Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experienceHigh level of coding proficiency using Python5+ years of professional experience in software engineering, AI/ML development including:Proficiency with production software (Python) and systems designMachine learning algorithms and model development techniquesML lifecycle tools like MLflow, dvc, weights & biasesCloud deployment of ML systemsProfessional experience with LLMs and large-scale modelsVery strong software engineering skills with a track record of building scalable, distributed product machine learning systemsStrong analytical and problem-solving skillsAbility to communicate complex ideas and concepts effectivelyAbility to work independently and collaboratively Preferred Skills:Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etcDepth of knowledge with RAG implementation and improvements#LI-Remote 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWriter is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to Writer's Global Candidate Privacy Notice.

true

📐 About this role Writer is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts. At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI. As an AI engineer at Writer, you'll play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software engineers, data scientists, and researchers, you'll be able to design and deploy AI solutions that drive our innovative products. If you’re passionate about using AI to transform the enterprise, then we want to hear from you.🦸🏻‍♀️ Your responsibilities Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilitiesEvaluate the performance of AI models & systems through rigorous testing and experimentation.Deploy LLM-based applications in production, evaluating and improving their performance over timeCollaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency.Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions.Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systemsImplement strong testing and CI/CD practices that help us move with confidence in our AI system development⭐️ Is this you? Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experienceHigh level of coding proficiency using Python5+ years of professional experience in software engineering, AI/ML development including:Proficiency with production software (Python) and systems designMachine learning algorithms and model development techniquesML lifecycle tools like MLflow, dvc, weights & biasesCloud deployment of ML systemsProfessional experience with LLMs and large-scale modelsVery strong software engineering skillx with a track record of building scalable, distributed product machine learning systemsStrong analytical and problem-solving skillsAbility to communicate complex ideas and concepts effectivelyAbility to work independently and collaboratively Preferred Skills:Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etcDepth of knowledge with RAG implementation and improvements#LI-Remote 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWriter is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to Writer's Global Candidate Privacy Notice.