Senior Full Stack Ai Engineer Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our Team Join Micron’s Smart Manufacturing & AI (SMAI) Engineering organization, where we develop next-generation intelligent software and AI agent solutions that speed up semiconductor manufacturing operations. We aim to build scalable, secure, and production-ready AI systems that improve Manufacturing Execution Systems (MES), engineering workflows, manufacturing decision making, and operational efficiency at Micron’s factories worldwide. You will operate at the crossroads of software engineering, artificial intelligence, semiconductor manufacturing, and enterprise systems. The role requires close collaboration with MES groups, process engineers, equipment engineers, architects, and manufacturing technology specialists to achieve important business results through contemporary AI technologies. Key Responsibilities Build, develop, deploy, and operate AI-enabled applications, services, and agent-based solutions supporting manufacturing operations and MES ecosystems. Work closely with MES organizations, manufacturing engineering teams, data specialists, and business collaborators to transform requirements into production-grade software systems. Build and implement full-stack software solutions including backend services, APIs, user experiences, databases, integrations, and cloud-native components. Integrate AI applications with MES or equivalent experience, manufacturing systems, corporate platforms, document repositories, event-driven services, APIs, and en

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Senior Full Stack AI Engineer at Micron, you will be part of the FE YMS AI Engineering Team, where you will design and deliver next-generation, AI-native solutions. In this role, you will focus on building intelligent, scalable systems that integrate advanced AI capabilities, including yield analytics and improvement solutions, data ETL pipelines, machine learning/LLM applications, and agentic workflow orchestration. You will partner with multi-functional team members to translate complex business challenges into adaptive, high-performance solutions that employ autonomous agents and workflow automation to drive decision-making and productivity. While your primary focus will be within YMS AI Solutions, the applications and solutions you build will be designed for reuse and scale, enabling enterprise-wide impact across Micron’s global operations. We require a minimum of 3+ years of software engineering experience involving medium- to high-complexity design and implementation. Having experience in the semiconductor industry is advantageous. Responsibilities Design, develop, test, deploy, and support full-stack applications across front-end UI/UX,

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! Prior to applying please note: We are currently unable to provide visa sponsorship for this position (including H-1B, OPT, F1, CPT or other employment-based visas). Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. This role is hybrid requiring 2 days in office at our San Francisco hub every Tuesday & Wednesday (located at 130 Sutter St, San Francisco, CA). About the Role We're seeking a Senior Full Stack Engineer to join our remotely distributed AI full stack team, someone who builds with quality and care, and grows their impact across our ecosystem. You'll contribute meaningfully to the reliability, performance, and maintainability of our critical financial infrastructure, directly shaping how our customers and taskers experience money. Our AI & Innovation team is a new incubator for AI projects at Taskrabbit, focused on opportunities that improve the

Become a part of our caring community The Senior Full Stack Engineer Performs software engineering activities in all layers of the stack, from setting up the database to programming in the back-end and the appearance at the front-end. The Senior Full Stack Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. As Centerwell builds its AI engineering function from the ground up, we need a platform foundation strong enough to support everything that comes next. As Lead Full-Stack Engineer focused on platform and API engineering, you will design and build the service layer that connects AI capabilities, data systems, and product frontends—setting the standards for how services are built, secured, and operated across the team. You will work with meaningful architectural scope, making decisions that span API design, security patterns, and deployment practices. The platform you build will serve care teams and patients across hundreds of Centerwell clinics. If you want to build platforms that others build on—and do it in service of better primary care—this is the role for you. Key Responsibilities Platform and API Architecture: ** Design and lead development of core backend services, REST and GraphQL APIs, and service-to-service integrations that connect all layers of Centerwell's AI product stack. Security and Compliance by Design: ** Establish patterns for authentication, authorization, rate limiting, PHI access control, and audit logging. Ensure HIPAA compliance is embedded in platform design from day one—not bolted on after the fact. AI and LLM Integration Patterns: ** Define and implement reusable patterns for integrating AI capabilities into product

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack—from React/TypeScript frontends to Python-based backends—while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. What You’ll Do Own major full-stack product areas , driving features from design through production deployment. Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness. Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. Deliver experiments and new features quickly , maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP. Adapt quickly —learning new technologies, frameworks, and tools as needed across the stack. Ideal Experience 5+ years of full-time engineering experience , post-graduation. Strong experience developing full-stack applications using React, TypeScript, and Python . Experience scaling or shipping products at high-growth startups . Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome). Proficiency with SQL and modern API development. Experience with Kubernetes , containerization, and microservice architectures. Experience working with at leas

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. About the Role As AI profoundly transforms how engineering teams work, we are looking for Full Stack Engineers to serve as "seeds" across our product teams. You will be among the first dedicated full stack engineers, helping the organization establish a highly autonomous, AI-augmented, end-to-end development model. Responsibilities Participate in end-to-end development of product features across frontend and backend under the guidance of senior engineers Learn and integrate mainstream AI coding tools (e.g., Cursor, Copilot, Claude Code) into your daily development workflow Assist in translating product requirements into working implementations with reduced handoff friction between frontend and backend Act as a full stack "seed learner" within the team — absorb full stack practices, contribute ideas, and grow into an autonomously delivering full stack engineer Observe cross-team collaboration processes and proactively suggest improvements to product, design, and engineering workflows Contribute to the product lifecycle — from design to deployment and iteration Requirements Currently pursuing a Bachelor's degree or above; Computer Science or AI-related major is a plus Hands-on project experience (personal projects, coursewo

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works. This role combines breadth and depth: the ability to take a feature from front end to cloud deployment, together with strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You will work with direct client exposure, and you will support the professional development of the junior engineers around you. What You'll Do Build Full-Stack AI Applications, End to End You will build AI products across the entire stack, from interface to infrastructure. Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node. Implement a

Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to the source document, and route ambiguous cases to human experts for review. Our users make decisions that impact real healthcare outcomes, so “good enough” is not good enough. Building AI systems that are accurate, reliable, auditable, and scalable is at the core of this role. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions end-to-end, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations. Why Join Us Build production AI systems where LLMs are in the critical path, not just demos or proofs of concept. Work on extraction, retrieval, agentic workflows, and human-review systems that process real healthcare data at scale. Own projects end-to-end across frontend, backend, AI orchestration, infrastructure, deployment, and operations. Solve challenging problems around accuracy, explainability, traceability, and reliability in regulated environments. Ship quickly in a small, high-impact team that embraces AI-assisted development and rigorous quality standards. Build systems that continuously improve through expert feedback, evaluations, and human-in-the-loop workflows. Key Responsibilities Design, develop, and deploy full-stack AI-powered application

Senior GenAI Engineer Location: Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Build and scale cutting-edge generative AI solutions that drive real business impact The Role As part of Capco’s Technology Delivery Team, you will bring hands-on experience in agile delivery and engineering best practices to develop innovative AI-driven solutions. As a Senior GenAI Engineer, you will contribute across the full AI lifecycle—from experimentation and prototyping through to production deployment—helping deliver scalable, high-impact solutions for financial services clients. What You’ll Do Design and build applications using foundation models and modern GenAI techniques (e.g., RAG, agent-based workflows) Develop and experiment with autonomous or semi-autonomous agent frameworks Contribute to full-stack AI solutions, including backend services, APIs, and user-facing components Deploy and scale AI/ML solutions in cloud environments (AWS, Azure, or GCP) Collaborate with cross-functional teams and support knowledge sharing across the team What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field (or equivalent experience) ~5+ years of software engineering experience with exposure to AI/ML or data-driven applications Hands-on experience with LLMs or generative AI Strong Python skills and experience building scalable backend systems Experience working with cloud platforms and modern development practices Willingness to work in our office 3 days/week Bonus Points For Experience with GenAI concepts such as RAG, embeddings, vector databases, or agent-based systems Familiarity with MLOps/LLMOps tools and model lifecycle management Experience contributing to full-stack development across backend and frontend Interest in staying current with emerging AI trends and technologies Experience mentoring or supporting team development Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions W

Senior GenAI Engineer Location: Charlotte, NC | Practice Area: Technology & Engineering | Type: Permanent Build and scale cutting-edge generative AI solutions that drive real business impact The Role As part of Capco’s Technology Delivery Team, you will bring hands-on experience in agile delivery and engineering best practices to develop innovative AI-driven solutions. As a Senior GenAI Engineer, you will contribute across the full AI lifecycle—from experimentation and prototyping through to production deployment—helping deliver scalable, high-impact solutions for financial services clients. What You’ll Do Design and build applications using foundation models and modern GenAI techniques (e.g., RAG, agent-based workflows) Develop and experiment with autonomous or semi-autonomous agent frameworks Contribute to full-stack AI solutions, including backend services, APIs, and user-facing components Deploy and scale AI/ML solutions in cloud environments (AWS, Azure, or GCP) Collaborate with cross-functional teams and support knowledge sharing across the team What We’re Looking For Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field (or equivalent experience) ~5+ years of software engineering experience with exposure to AI/ML or data-driven applications Hands-on experience with LLMs or generative AI Strong Python skills and experience building scalable backend systems Experience working with cloud platforms and modern development practices Willingness to work in our office 3 days/week Bonus Points For Experience with GenAI concepts such as RAG, embeddings, vector databases, or agent-based systems Familiarity with MLOps/LLMOps tools and model lifecycle management Experience contributing to full-stack development across backend and frontend Interest in staying current with emerging AI trends and technologies Experience mentoring or supporting team development Why Join Capco Deliver high-impact technology solutions for Tier 1 financial

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. About Our Team The Smart Manufacturing and Artificial Intelligence (SMAI) organization is leading Micron’s AI-first transformation by building intelligent applications, AI-powered platforms, data products, and automation solutions that accelerate innovation across manufacturing, engineering, and business operations. Position Overview As a Senior AI Full Stack Engineer, you will lead the architecture, development, deployment and operationalization of secure, scalable AI-powered applications. You will combine strong software engineering with practical expertise in Generative AI, agentic systems, cloud-native services, data integration and modern user experiences. The role is expected to independently own complex technical outcomes, guide engineering decisions, mentor junior engineers and partner with architects, data scientists, product owners and business stakeholders to deliver measurable enterprise value. You will build enterprise-grade services and APIs using C# and .NET (ASP.NET Core), develop modern frontend experiences, integrate Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP) and enterprise

Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees and offer the most comprehensive set of AI & data solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we partner with 1000+ clients, including some of the world’s top 300 brands. The Role We are looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack : an engineer who works embedded with our clients and takes AI products from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication. You will work closely with our clients, with direct exposure from the start, and you will support the professional development of the engineers around you. What You'll Do Build Full-Stack AI Applications, End to End You will build AI products across the entire stack, from interface to infrastructure. Develop user-facing interfaces and the backend services and APIs behind them in Python. Implement age

Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees and offer the most comprehensive set of AI & data solutions per industry, built on deep data science and cutting-edge AI technologies, delivering AI projects at scale in all industry sectors. From strategy to operations, we partner with 1000+ clients, including some of the world’s top 300 brands. The Role Artefact is looking for a Manager, Forward Deployed Engineering , specialized in Gemini Enterprise and the Google AI stack: a hands-on technical leader who owns the delivery of AI products for our clients, from architecture through production, while building and leading the team of engineers who build them. You will split your time between technical leadership and people leadership. You set the technical direction for one or more client engagements, stay close enough to the code and architecture to make good calls under pressure, and are the senior escalation point when things get hard — technically or with the client. At the same time, you manage a team of Deployed AI Engineers: their staffing, their growth, their day-to-day delivery, and their development into the next generation of technical leads. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the leadership skills to run a delivery team and manage senior client relationships. What You'll Do Lead Delivery of Full-Stack AI Applications Own technical delivery across one or more client engagements: architecture decisions, technical risk, and quality bar. Set direction on interface design (TypeScript/React), backend services (Python or Node), and the agentic and retrieval systems underneath. Review and unblock your team's work on orchestration, tool/function calling, memory, guardra

About Artefact Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the front end, the service behind it, the data and retrieval pipelines feeding it, the deployment, and the evaluations proving it works. This role combines deep, certified expertise in Google's enterprise AI stack (Gemini models, Vertex AI, and the Gemini Enterprise agent platform) with the ability to deliver end to end. Beyond your platform specialization, you will be expected to work confidently across the full delivery lifecycle — full-stack development, data engineering, cloud infrastructure, evaluation, and client communication. You will work closely with our clients, with direct exposure from the start, and you will support the professional

About the Team OpenAI’s Education team is building products that advance how people learn with AI. The team works across higher education institutions, K-12 districts, and country-level partnerships, including applied research on how AI affects learning and cognitive outcomes. The team owns owns ChatGPT Edu, ChatGPT for Teachers, and related product/research work. The team partners closely with go-to-market, research, Consumer Learning, and model teams to turn education-specific insights into product experiences that can improve ChatGPT more broadly. Some of our recent work: New Education Plugins for ChatGPT Work and Codex New tools for understanding AI and learning outcomes Education for countries Advancements in higher education Early product work - Introducing Study Mode About the Role We’re looking for a hands-on Tech Lead Manager to lead and manage a team of senior full-stack engineers building AI-native learning experiences in ChatGPT. This person will combine technical execution, product judgment, and people leadership: they will write and ship code, manage engineers, and help shape the product direction for how students and Educators use AI. In This Role, You Will Lead and manage a team of three senior full-stack engineers. Build product experiences for ChatGPT Education, ChatGPT for Teachers, and AI-native learning workflows. Partner with research teams on field studies, randomized control trials, classifiers, data pipelines, and cognitive-outcome measurement. Collaborate with Consumer Learning and model teams to translate education insights into broader ChatGPT behavior and product improvements. Drive execution across product, engineering, research, go-to-market, and partner teams. Help define product strategy, priorities, and delivery plans for a new product pod. You Might Thrive In This Role If You Have several years of direct people-management experience with engineers. Are still highly technical and comfortable doing IC engineering work. Have strong pr