Top MLOps / DevOps Engineer Jobs Openings in 2025

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.About NICE and MPower Proactive AI Agents NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the 100 largest corporations in the world, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Innovation efforts in cloud-native open platforms, artificial intelligence and analytics is driving rapid growth of our software products with reported revenues of USD 1.7 billion in FY 2020.   MPower Proactive AI Agents has recently become a part of the NICE CXOne suite and is a market leader in proactive conversational AI.    MPower Proactive AI Agents is a cloud-hosted conversation platform. Proactive and omni-channel, MPower Proactive AI Agents leverages artificial intelligence, natural language understanding and machine learning so that global brands can transform their customer journeys. MPower Proactive AI Agents disrupts the traditional call-centres; just a fraction of the cost to deploy and run, but with three times the customer engagement rate of its manual call-centre predecessors. This means that as well as being lower cost, MPower Proactive AI Agents can drive corporate KPIs harder and faster, at the same time as improving the customer experience.  About the role As a rapidly growing business, we are building a professional services team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and many more to clients across the globe.   Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients. Key Responsibilities Become an expert in MPower Proactive AI Agents solution design consultancy and implementation  Work with global teams to build, test and support customer journeys and conversations from specification using our internal tooling  Learn clients’ business processes to define and document requirements for automated transactions of proactive customer journeys  Document End-to-End Application Integration Specifications  Configure, perform E2E testing, debug, and deploy the SaaS platform based on client requirements  Define and implement MPower Proactive AI Agents customer journey optimization strategies by utilizing data analytics in conjunction with a deep understanding of the MPower Proactive AI Agents transactional data model  Write queries in SQL and build reports and dashboards  Write and debug code snippets (in JavaScript)  Design and test APIs  Assist with training of new implementation specialists  Provide on-call support to global customers  Basic Qualifications:  4+ years experience in an implementation / professional services / consulting role  Graduated with a degree in a Computer Science / Business Analytics / Data Analytics / STEM type degree  Knowledge of basic programming languages and data structures  Knowledge of data analysis and SQL  A keen problem solver with a passion for learning  Ability to successfully work in a team-oriented, highly collaborative environment  Amenable to work shifting schedules   Preferred Qualifications:  If you don't have these but are willing to learn, please apply:  Technical expertise in data structure extraction and summarization  Experience with JavaScript, C#, SQL, HTML, CSS, Python  Experience with integration tools  Application knowledge of Excel, Tableau (or similar BI tool)  Requisition ID: 7852 Reporting into: Manager, Professional Services Role Type: Individual Contributor  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.Senior IT Engineer Role We are seeking a highly skilled and experienced Senior IT Engineer to join our Corporate IT team. In this senior-level role, you will be responsible for driving the architecture, integration, and optimization of our core IT infrastructure — with a strong focus on identity and access management (IAM), collaboration platforms, endpoint management, and employee lifecycle automation. You’ll work with technologies such as Okta, Slack, Google Workspace, JAMF, Intune, and HRIS platforms like Workday and Rippling to build secure, scalable, and efficient systems. The ideal candidate is a proactive, systems-oriented problem-solver with deep expertise in Identity Governance and Administration (IGA), Mobile Device Management (MDM), and automation frameworks, including low-code/no-code orchestration tools and AI-enhanced workflows. Key Responsibilities Architect and manage IAM solutions using IdPs such as Okta, Ping, and JumpCloud, with a focus on IGA: user lifecycle automation, RBAC, access workflows, compliance reporting, and policy enforcement. Integrate IAM platforms with Google Workspace, Slack, HRIS systems (e.g., Workday, Rippling) and other SaaS tools to support SSO, MFA, directory sync, and role-based access provisioning. Administer and optimize collaboration platforms, especially Slack and Google Workspace, including advanced configuration, security settings, and workflow integrations. Implement and manage device compliance and security across macOS, iOS, Windows, and Android using MDM solutions like JAMF, Kandji, and Intune. Design and build automated IT workflows using scripting languages and modern orchestration tools — including low-code or AI-driven platforms that enable scalable, event-based automation and system integration across cloud services and APIs. Develop and maintain custom scripts in Python, Bash, and PowerShell to automate repetitive tasks, monitor systems, and streamline onboarding/offboarding processes. Leverage integrations with HRIS tools (Workday, Rippling) to drive lifecycle automation and ensure secure, consistent access to resources based on user roles and employment status. Maintain and support systems used by engineering teams, ensuring high availability of development tools, secure access, and streamlined workflows. Collaborate across teams (HR, Security, Engineering, Finance) to gather requirements, implement IT solutions, and align tools with business needs. Conduct regular security assessments of infrastructure and SaaS environments, and ensure compliance with internal and external standards. Mentor and support junior team members, contribute to documentation, and promote knowledge sharing and operational maturity across the IT team. Evaluate and implement new technologies, including emerging AI-driven or automation-enhancing platforms, to continuously improve efficiency, scalability, and security. Required Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). 7+ years of experience in IT engineering, with 3+ years in a senior or staff-level capacity. Expertise in Okta or similar identity platforms, including SSO/MFA, lifecycle automation, RBAC, and compliance integration. Experience integrating IAM with Google Workspace, Slack, and HRIS tools like Workday or Rippling. Strong experience with MDM platforms such as JAMF, Kandji, and Intune, managing multi-OS device environments. Hands-on experience building automated IT workflows, including use of scripting and modern orchestration platforms that integrate APIs and event-based triggers. Proficiency in Python, Bash, and PowerShell for scripting, automation, and diagnostics. Understanding of IT architecture across SaaS, networking, and endpoint security. Proven track record of solving complex problems in fast-paced, security-conscious environments. Strong written and verbal communication skills, with the ability to work across both technical and non-technical stakeholders. Preferred Qualifications Relevant certifications: Okta Certified Professional, JAMF Certified Expert, Google Workspace Administrator, Microsoft Intune Administrator, or equivalent. Experience with other IAM platforms (e.g., Azure AD), or collaboration tools (e.g., Microsoft Teams). Familiarity with cloud environments (AWS, Azure) and containerization technologies (Docker, Kubernetes). Exposure to low-code/no-code platforms, AI-enhanced automation, or workflow orchestration tools. Understanding of ITIL practices, or experience working in Agile operational environments. Background in high-growth or enterprise-scale organizations with a strong security and compliance culture. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll DoAdvocate for Lambda’s ProductsDevelop and maintain expertise in Lambda’s cloud products and servicesDemonstrate Lambda’s software and solutions to customers, partners and staffCreate field enablement materials for technical audience, lead workshops and support product advocacy effortsProvide technical feedback from customers to Lambda’s product and marketing teamsOwn the technical side of Lambda’s sales process.Partner with Lambda account executives to drive customer adoption and ensure successful deliveryEvaluate and assess customers needs to deeply understand pain-points, bottlenecks and expected outcomesRecommend appropriate cloud services and configurations to design a cohesive solution that supports the customers applications and workflowDocument proposal and designs in formats including but not limited to presentations, white-papers, visuals, Bill of Materials and rack elevationsDemonstrate expertise on Lambda’s cloud infrastructureBuild structured and purposeful learning into your work routineDevelop and support internal Lambda community as a subject matter expertBe an expert at deploying AI/ML workloads on Lambda cloudStay up to date on the latest deep learning trends, best practices and experiment with them using internal tools and resourcesDevelop high quality processes and documentationReinforce Lambda’s cultureContribute positively throughout the organizationMaintain a high level of agility and responsivenessHyper-focused on customer satisfactionYouHave 8+ years of experience designing, deploying and scaling cloud infrastructureHave 4+ years of experience as a solutions architect or consultative capacity supporting cloud infrastructure and servicesHave 3+ years of experience working with cloud-based AI/ML servicesHave deep knowledge of the ML ecosystem, including common models, practical use cases, and supporting toolsHave experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible and TerraformHave deep knowledge of cloud infrastructure, security, networking, and cost optimization techniquesHave experience coding in Python, C# or similar programming languageHave experience developing with NVIDIAs GPUsHave led complex technical projects with diverse stakeholdersHave demonstrated impact at an organizational/multi-departmental levelHave experience leading complex cloud deals, influencing C-level stakeholders, and mentoring junior SEs or architectsThrive in dynamic settings and embrace radical ownership of initiatives and outcomesNice to HaveExperience with AI/ML use case to algorithm selection, training, tuning, inference, and training pipeline design and build.Participation in go-to-market (GTM) initiatives or product launchesExperience working with LLM architecturesExperience working with RESTful API and general service-oriented architectureSalary Range InformationBased on market data and other factors, the salary range for this position is $249,600 - $374,400 OTE. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. As a Senior Developer Productivity Engineer at Together AI, you’ll own the systems and tooling that empower engineers to ship high-quality software faster. You’ll optimize workflows, enhance testing, enable reliable and reusable CI/CD, and work with developers to build out stable local environments. Your work will directly impact release velocity, developer happiness, and cross-cutting enablement ensuring engineers spend less time churning on infrastructure and more time building. Requirements Bachelor’s degree in Computer Science, Engineering, or related field or 5+ years of industry experience in DevOps/SRE, developer tooling, or infrastructure engineering. Proficiency in Python, Go, and JavaScript/TypeScript (for tooling, automation, and FE enablement). Strong experience with CI/CD tools (GitHub Actions, ArgoCD, Gitops methodology) for building scalable, reusable pipelines. Experience with local dev environment tooling (e.g., Skaffold) and containerized development workflows Experience with creating starter templates in coordination with engineering for enabling rapid spin up of new services  Strong ownership and a builder mindset, you love creating tools others rely on. Problem-solving rigor and attention to detail (e.g., diagnosing flaky tests, build latency). Nice to have Kubernetes expertise (EKS, K3s) and optimizing containerized builds. Infrastructure as Code (Terraform, Ansible, Pulumi). Front-end tooling familiarity (e.g., React, Next.js, Jest) to optimize FE dev workflows. Monitoring/observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks. Responsibilities Automate CI/CD pipelines for zero-downtime deployments (e.g., Canary, Blue/Green). Create smart pipelines encouraging reusable workflows and simplicity Streamline build/test/deploy workflows. Build shared tooling (CLIs, codegen, IDE plugins) to accelerate teams. Reduce friction (e.g., faster builds, hot-reload, test tooling). Collaborate with developers to identify pain points and streamline workflows. Champion best practices through documentation.   Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About AdCreative.ai AdCreative.ai, based in Paris, France, is a leading AI-driven platform revolutionizing how businesses create advertising and marketing assets. By combining proprietary AI models, advanced technology, and a user-centric approach, AdCreative.ai empowers brands to generate high-performing ad creatives that deliver measurable ROI. Founded in 2021 and trusted by global brands like Snapchat, Pernod Ricard, Reckitt, BNP Paribas and Chopard, the platform merges cutting-edge AI technology with advertising expertise to shape the industry's future, making campaigns faster, smarter, and more impactful. As a trusted partner in the AI era, AdCreative.ai offers innovative tools like Creative Insights, AI Video Ad Generation, and Stock Image Creation, enabling businesses to scale with precision and achieve creative excellence in their campaigns. About the role We are seeking an experienced and visionary Engineering Manager to lead and grow a high-performing engineering team. This role requires a balance of strong technical expertise, people leadership, and strategic thinking to drive product and infrastructure initiatives forward. The ideal candidate has a deep background in backend or systems engineering, a solid understanding of DevOps practices, and—preferably—experience with MLOps workflows in production-grade machine learning environments. Responsibilities  Lead, mentor, and scale a team of engineers working across infrastructure, backend services, DevOps platforms, and MLOps Collaborate with product, data, and machine learning teams to align engineering efforts with business goals   Oversee project planning, prioritization, and delivery with a focus on quality and velocity   Promote engineering excellence by establishing best practices in code quality, testing, deployment, and observability   Drive initiatives in system scalability, reliability, and maintainability   Contribute to infrastructure decisions, ensuring efficient CI/CD pipelines and DevOps tooling   (Preferred) Support and evolve MLOps pipelines in collaboration with ML engineers and data scientists About you  [Minimum qualifications] 4+ years of hands-on software engineering experience, including at least 2+ years in a leadership or management role   Proven experience leading cross-functional technical teams in fast-paced environments   Solid understanding of DevOps principles and modern cloud infrastructure (e.g., AWS, GCP, Azure)   Familiarity with CI/CD tools (e.g., GitHub Actions, ArgoCD, Jenkins), infrastructure as code (e.g., Terraform, Pulumi), and container orchestration (e.g., Kubernetes)   Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders  [Preferred qualifications] Experience with MLOps workflows (model training, deployment, monitoring, data pipelines)   Background in machine learning infrastructure or working with ML engineering teams   Exposure to data platforms, versioning tools (e.g., DVC), or ML orchestration frameworks (e.g., Kubeflow, MLflow)   Ability to guide architectural decisions involving machine learning systems in production #LI-SW1 #LI-Fully Remote

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  We are building one of Europe’s largest AI infrastructure offering that will provide our customers a private and integrated stack in every form factor they may need — from bare-metal servers to fully-managed PaaS. As a DevOps Engineer, you will join a fast growing team to help building, scaling and automating our computing management stack. You will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and customer platform. Location: France 🇫🇷 and UK 🇬🇧 as primary location, or remote under conditions (see below)Reporting line: Software Architect, HPC What you will do As a DevOps Engineer in the HPC services team, your primary responsibility will be to engineer robust and dependable infrastructure that supports both our internal operations and customer-facing platforms. Key Responsibilities: • Design, build and maintain scalable, highly available and fault-tolerant infrastructures• Build, scale and automate the full lifecycle of compute nodes, from bootstrapping to decommissioning• Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, API-based features, web apps, dashboards, etc.)• Drive continuous improvement in infrastructure automation, deployment, and orchestration (CI/CD, containerization, orchestration, monitoring, logging and alerting systems...)• Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.)• Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences• Collaborate closely with R&D to streamline build systems, scale testing workflows and make sure our inference and model training environments are always highly available and seamlessly replicable across several HPC clusters• Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements About you • 7+ years of experience in a DevOps/SRE role• Exposure to highly available distributed systems and site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...)• Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices• Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes..)• Proven experience troubleshooting complex K8s cluster issues and performing system upgrades• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation• Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...)• Experience working against reliability KPIs (observability, alerting, SLAs)• Strong understanding of networking, security, and system administration concepts• Excellent problem-solving and communication skills• Self-motivated and able to work well in a fast-paced startup environment Now, it would be ideal if you also had experience with:• HPC workload managers (Slurm)• Distributed storage systems (Lustre, Ceph)

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About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. As the Research Systems Engineer, you will partner with research professionals to design, implement, and maintain high-performance computing (HPC) clusters and cloud environments to support research and development activities. You will collaborate with research professionals to ensure seamless operation of research environments, including job scheduling, resource allocation, and data management. Responsibilities: Lead the installation and upgrades of system hardware and software, including computational systems, clusters, standalone machines, storage systems and a variety of network fabrics including Ethernet, InfiniBand, and Fibre Channel. Provide expertise and guidance in HPC infrastructure, design, implementation, and optimization. Serve as the primary technical point of contact for our Research team. Troubleshoot and resolve any system related problems to ensure the Research team’s success in using the environments Coordinate across multi-vendor resources, manage escalations effectively, handle complex issues, and ensure timely and satisfactory resolutions. Maintain detailed documentation of system configurations, procedures, and troubleshooting guides to facilitate knowledge sharing within the Research team. Contribute to the creation of training materials to enable the Research team’s success and platform adoption. Research new and emerging technologies, evaluate workflows and plans, and make recommendations for future improvements to the HPC environment Qualifications: 5+ years of Linux system administration experience Strong understanding of HPC architectures with GPU management Experience with job schedulers and resource managers (e.g. Slurm) Knowledge of Linux operating systems (e.g., Ubuntu, Red Hat, CentOS) Working experience with programming languages (e.g., Go, Python, Bash) Experience with network protocols (e.g., TCP/IP, InfiniBand) Experience with containerization and virtualization technologies (e.g., Docker, Kubernetes) Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) Familiarity with machine learning and artificial intelligence frameworks (e.g., TensorFlow, PyTorch) Experience with data analytics, visualization and observability tools (e.g., Grafana, Tableau, Power BI) Strong problem-solving and analytical skills Excellent communication and collaboration skills Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy  

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will guide a team to build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions that support their needs.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleAs a leader on the Agent Software Engineeirng team, you’ll have complete ownership and autonomy in shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willLead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionCollaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agentsPartner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsContribute to team strategy and help define the future of AI customer support agentsYour background looks something like thisHave 1+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$300K – $375K + Offers Equity

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About Us:Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. About the Role: We're seeking a Junior Agent Deployment Engineer to join our collaborative team of engineers, scientists, and healthcare professionals working on transformative AI solutions. In this role, you'll help develop and maintain our conversation layer using a mix of software and prompting skills to allow our AI agent facilitate autonomous conversations.What You’ll Do:Develop complex prompts in our SOTA conversation planning layer to enable complex agentic model workflowsCollaborate with Product Managers, Software Engineers and Clinicians to create fully autonomous, clinical conversations.Write, configure and iterate on prompts to create engaging, patient-oriented conversationsUse advanced prompting techniques to develop and optimize prompts for language models to improve model performance, clinical safety, and patient experience.Conduct experiments and analyze outcomes of model outputs to refine and iterate on prompt strategies.What We’re Looking For (Must-Have):Bachelor’s degree in Computer Science, Computer Engineering, or a related field (or equivalent coursework/projects).2+ years industry experience Experience with Python Experience with LLM prompting (chatGPT, Claude, etc) through professional or personal useExposure to working with databases and building simple RESTful APIs.Strong problem-solving mindset and eagerness to learn new technologies.Nice-to-Have (But Not Required):Experience with personal or academic projects involving backend development.Basic understanding of AI/ML concepts or a desire to learn about them.Knowledge of modern web frameworks (e.g., Flask, Django, or Spring Boot).Awareness of data privacy and security best practices, especially in regulated environments.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.Our team values in-person collaboration, with on-site presence expected five days a week in Palo Alto, CA unless otherwise specified.Why Join Us:Be part of an innovative team creating impactful AI solutions in the healthcare space.Receive mentorship and hands-on training to advance your technical and professional skills.Collaborate in a supportive, team-driven environment that values learning and development.Work on meaningful projects with real-world applications in patient care.We’re excited to meet passionate engineers who are eager to make a difference. If you’re enthusiastic about learning and applying your skills to cutting-edge technology, we encourage you to apply!

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Figure is an AI Robotics company developing a general-purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration.  We are seeking a highly motivated and experienced Supplier Industrialization Engineer (SIE) with a deep specialization in Printed Circuit Board Assemblies (PCBAs) and Top Level Assemblies (TLAs) . In this critical role, you will be the technical expert responsible for ensuring the quality, reliability, and manufacturability of our PCBA components from our global supplier base. You will bridge the gap between design engineering and manufacturing, driving continuous improvement and scaling our production capabilities to meet our ambitious goals. Responsibilities Supplier Development & Qualification:  Conduct comprehensive audits and assessments of existing and potential PCBA suppliers (domestic and international) to evaluate their manufacturing infrastructure, process controls, automation levels, and quality systems. Collaborate within Supply Chain and Engineering teams to define rigorous supplier selection criteria and execute sourcing strategies. Lead supplier onboarding, development, and risk mitigation strategies to ensure long-term quality, cost optimization, and supply chain resilience. Design for Manufacturability (DFM) & Assembly (DFA):  Actively participate in early-stage product development, providing critical DFM/DFA feedback on PCBA designs to engineering teams. Work closely with design engineers to optimize PCBA layouts for manufacturability, integrating supplier-specific feedback into part and assembly designs (e.g., panelization, stencil design, soldering, AOI, ICT). Ensure manufacturing best practices are embedded early in the design process. Process Optimization & Manufacturing Readiness:  Lead the development and validation of new SMT (Surface Mount Technology) processes and technologies (e.g., fine-pitch, micro-BGA, PoP, 0201/01005 components) at supplier sites. Develop and implement Process Flow Diagrams (PFDs) to identify bottlenecks, improve throughput, and optimize automation. Drive prototyping and pilot builds to evaluate and refine PCBA manufacturing processes prior to volume ramp-up. Implement End-of-Line (EOL) test strategies and in-line process validation to ensure stable and repeatable quality. Identify and implement automation and process controls for scalable, cost-efficient PCBA manufacturing. Lead trials and qualifications for new solder pastes, fluxes, nozzles, and reflow profiles. Quality & Compliance:  Collaborate with the Quality team to establish robust vendor certification processes, ensuring high-performance PCBAs. Implement quality controls at suppliers, pushing defect prevention upstream through root cause analysis and corrective actions (SCARs - Supplier Corrective Action Requests). Deploy and monitor Statistical Process Control (SPC) methodologies, ensuring data-driven decision-making and process stability. Develop and implement Process Failure Mode and Effects Analysis (pFMEA) to proactively identify and mitigate risks in PCBA manufacturing. Lead Design of Experiments (DOE) and Gage R&R studies to validate process robustness, test equipment reliability, and measurement system accuracy. Own and be responsible for field quality failures, driving suppliers to implement sustainable corrective actions and lessons learned. Supplier Management & Performance:  Determine and manage production line layout capacity by balancing cycle time and driving process flow changes at supplier sites. Drive continuous improvement in supplier scalability, cost, and quality performance, minimizing inspections and improving first-pass yield. Act as the critical-to-quality (CTQ) leadership during New Product Introductions (NPIs) for suppliers. Facilitate clear communication of technical requirements between suppliers and internal teams (Purchasing, Quality, Design). Utilize data analytics tools to analyze process trends, identify quality issues, and drive improvements. Partner with suppliers to implement robust quality systems and drive operational excellence. Requirements Bachelor’s degree in Electrical Engineering, Industrial Engineering, Mechanical Engineering, or a related technical field. 7+ years of experience progressive experience in supplier industrialization, manufacturing engineering, or process engineering, with a strong focus on Printed Circuit Board Assembly (PCBA) and Top Level Assembly (TLA). Deep understanding of PCBA manufacturing processes, including SMT, Through-Hole Technology (THT), reflow, conformal coating, underfill, washing, press fit, pin insertion, and depanelization. Proficiency in Design for Manufacturing (DFM) and Design for Assembly (DFA) principles. Strong knowledge and practical experience with quality methodologies and tools (e.g., Root Cause Corrective Action (RCCA), Fishbone, Process Mapping, 5S, SPC, pFMEA, DOE, Gage R&R). Solid experience with New Product Introductions (NPIs) and project management in a manufacturing environment. Familiarity with industry standards such as IPC-A-600, IPC-A-610, J-STD-001. Experience with CAD software and PCBA layout tools. Excellent analytical and problem-solving skills, with the ability to interpret complex data and drive actionable insights. Strong communication, negotiation, and interpersonal skills to effectively collaborate with suppliers and internal cross-functional teams. Ability to travel domestically and internationally up to 30%, sometimes with short notice, to engage with manufacturing partners. Self-motivated, hands-on, and adaptable to a fast-paced, dynamic environment. Bonus Qualifications:  Master's degree in a relevant engineering field.   Certifications such as ASQ CQE, CQM, CRE, CQA.  Knowledge of Lean Manufacturing and Six Sigma methodologies (Green Belt or Black Belt certification a plus).  Experience in the [mention relevant industries, e.g., automotive, aerospace, consumer electronics, medical device] industry.   The US base salary range for this full-time position is between $140,000 - $220,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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Why you should join usTandem is a generational opportunity to rethink how we bring new therapies to market, and our path to doing so is significantly de-risked – we have:Exponential organic growth: We have product-market fit and are growing rapidly through word-of-mouth. Tandem supports thousands of patients every day, is doubling doctor users every quarter, and is working with the largest biopharma companies in the world.An AI-first business model: Our approach is distinctly enabled by AI, but our business will get stronger (not commoditized) as foundation models improve. We are building durability through two-sided network effects that will compound over time.Top tier investors: With the traction to support conviction in our model, we raised significant funding from investors (including Thrive Capital, General Catalyst, Bain Capital Ventures, and Pear VC) to build an exceptional team of engineers and operators.Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.All full-time roles are in person in New York. You can learn more about working with us in the last section of this page.About the roleAs Applied AI Lead at Tandem, you will define and lead the strategy for how we turn frontier AI capabilities into real-world systems that scale access to medicine and power our business. This is a hands-on, high-context leadership role — equal parts product strategy, technical judgment, and execution intensity. You will own the direction of all model-driven work at Tandem, from internal workflow automation to user-facing intelligence, and lead a small, exceptional team of engineers and researchers to build fast and prove impact.You will work closely with leadership across product, engineering, operations, and go-to-market to ensure AI is integrated deeply and usefully across the company. You will also be a direct partner to our largest enterprise customers — helping translate their needs into capabilities and representing Tandem’s technical strategy externally. This is a foundational leadership role with broad surface area and high leverage.This is a demanding role, with a high level of autonomy and responsibility. You will be expected to “act like an owner” and commit yourself to Tandem’s success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.If you join, you will:Set the applied-AI vision and roadmap across workflow automation, data extraction, UX augmentation, and user-facing intelligenceDecide where to invest — model selection vs. fine-tuning, retrieval vs. generation, buy vs. build — and own evaluation, latency, reliability, and costLead cross-functional discovery with product, engineering, ops, and GTM to surface and prioritize the next 10× automation winsShip end-to-end: prototype, iterate, productionize, and instrument impact on user metrics and unit economicsRepresent Tandem in conversations with enterprise customers and partners, translating their goals into AI capabilities and vice-versaHire, mentor, and retain a growing team of top-tier ML engineers and researchersStay ahead of the curve on emerging models, tooling, and best practices, bringing practical experiments into production quicklyWe need your help to:Decipher and automate complex, branching workflows for insurance coverage, affordability programs, and fulfillmentCombining AI/ML approaches to achieve high precision document classification, unstructured data extraction, and reference-based question answeringAutomating multi-step, path-dependent processes, using a combination of RPA/scraping approaches to navigate and operate third-party platformsBuilding a state machine that drives system decisions and handles failure modes across a set of processes that are technically independent but practically intertwinedScale across a growing range of drug classes, patient populations, and provider marketsMaking our data and ML pipelines robust to variation and inconsistency in input data formats (e.g., clinical documentation structure and style)Leveraging empirical data to build and continuously update our understanding of opaque external systems (e.g., insurance company policies)Creating consumer-grade experiences for patients, physicians, and other users that incorporate intuitive AI-powered workflowsUse our network to help biopharma partners accelerate drug development, launch, and accessTranslating large volumes of heterogeneous data into reliable insights, informing decisions like clinical indication selection, launch markets, and insurer negotiationsDeveloping predictive and simulation models to forecast outcomes such as clinical trial site performance, drug adoption rates, and the impact of rebates/subsidiesUsing real-time data and direct engagement channels to enroll criteria-matching patients and physicians in clinical studies and access programsWe’ll be most excited if you:5–12 years shipping production AI systems that move core product or business metricsProficiency with modern AI/ML technologies (e.g., LLM APIs, PyTorch, TensorFlow) and a strong foundation in full-stack web development (we use Python, React, TypeScript, PostgreSQL, and Kubernetes)A product mindset — you care as much about user value and uptime as model perplexityProven judgment on where AI adds leverage vs. noise, and how to measure ROIStrong written and verbal communication that allows you to be an effective participant in both internal debates and external relationshipsTrack record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goalsHigh NPS with your former teammatesThis is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.Working with usTandem is based in New York, with our full team working out of a beautiful and spacious office in SoHo. We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:Commit to audacity. "Whether you think you can, or you think you can't – you're right.”Do the math. Be rigorous, assume nothing.Find the shortest path. Use hacks, favors, and backdoors. Only take a longer road on purpose.Spit it out. Be direct, invite critique, avoid equivocation – we want right answers.Be demanding and supportive. Expect excellence from everyone and offer help to achieve it.Do what it takes to be number 1. We work hard to make sure we win.We provide competitive compensation with meaningful equity. Everyone who joins early will be a major contributor to our success, and we reflect this through ownership and pay.We also provide rich benefits to ensure you can focus on creating impact:Fully covered medical, vision, and dental insurance.Memberships for One Medical, Talkspace, Teladoc, and Kindbody.Unlimited paid time off (PTO) and 16 weeks of parental leave.401K plan setup, FSA option, commuter benefits, and DashPass.Lunch at the office every day and Dinner at the office after 7 pm.Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Tandem (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. Tandem 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.

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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.

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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 AI Agent Engineer to bend language models to their will. In this role, you will collaborate with engineers and research scientists to enhance the effectiveness and safety of generative AI solutions by designing, testing, and improving prompts that drive clinical safety and patient experience. You will also create automations to test your creations.  An ideal candidate is equal parts software engineer and prompt engineer, product, loves experimentation and tinkering, is extremely thorough and detail oriented, and has a passion for conversation and communication. Responsibilities:Help achieve world class performance on several safety-critical LLM applicationsCollaborate with product managers to write detailed product specs for how models should behaveHelp design agentic model workflowsUse advanced prompting techniques to develop and optimize prompts for language models to improve model performance, clinical safety, and patient experience.Contribute to automated model testing and evaluation infrastructureBuild automations to create and select the best prompts for any given taskConduct experiments and analyze outcomes of model outputs to refine and iterate on prompt strategies.Write and configure prompts to create engaging, patient-oriented conversationsRequired Qualifications:Experience (5+ years) in a technical or semi-technical field, such as engineering, analytics, data science, or product managementDemonstrated product sense and intuition for conversation designProficiency writing simple scripts in PythonFamiliarity with basic principles of machine learning, conversational AI, and Large Language ModelsPreferred Skills:Experience developing, designing, and/or interacting with non-deterministic AI/ML systemsExperience designing and conducting experiments and statistical analysis, specifically measuring and optimizing the accuracy of model outputsExperience with written language, communications and/or conversation designSoftware engineering experienceCandidate Background:Given that the field of prompt engineering is very new, we understand that it’s unlikely that you will have direct experience on your resume. While direct experience in prompt engineering is not expected, we value transferable skills that align with the responsibilities of the position. Ideal candidates might come from various related fields where they have honed relevant skills in problem-solving, analytical thinking, and written communication.You might be a good fit if you have an engineering background and have or are looking to move into a product role. Perhaps you’re a data scientist who writes on the side. Or maybe you are a conversation designer who dabbled in computational linguistics.We are looking for high-aptitude adaptive thinkers who are willing to jump in and solve new problems using a variety of technical and non-technical approaches. 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