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4 jobs found

Today

Staff / Principal Full Stack AI Engineer (Industrial AI)

Micron Boise, ID

Boise, ID

Today

Full time Ai Engineer Artificial Intelligence Data Integration

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Job Description

Micron is seeking a hands-on Full-Stack AI Engineer to build production-grade AI applications for Industrial AI and Autonomous Operations. This role spans the full lifecycle, from data ingestion and feature engineering to models, APIs, and user-facing applications, with deployment across cloud and edge environments.

Based in Boise, ID (onsite), this position supports intelligent factory operations through integrations with manufacturing systems and robotics platforms, alongside digital twin environments and simulation-driven optimization.

What you’ll do

Design, architect, and deliver end-to-end AI products, including data ingestion pipelines, feature engineering, model training and inference, APIs, user interfaces, and application monitoring.
Build and maintain modern front-end applications using React, Angular, or Streamlit, backed by services in Python and FastAPI.
Develop scalable integrations across manufacturing systems, robotics platforms, AMRs, sensor networks, and enterprise applications to enable intelligent operations.
Design and implement digital twin environments using NVIDIA Omniverse, Gazebo, or Unity Robotics Hub for simulation, validation, and operational optimization.
Integrate LLMs, agentic AI frameworks, and AI-assisted decision support into production manufacturing workflows.
Deploy and manage containerized applications using Docker, Kubernetes, and CI/CD pipelines across cloud and edge.
Optimize AI and simulation workloads using GPU acceleration, performance tuning, model optimization, and Responsible AI standards.

What you bring

Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent professional experience.
5+ years of experience designing, building, and deploying production web applications, AI solutions, or both.
Strong programming skills in Python and modern JavaScript/TypeScript, with experience building scalable software architectures.
Experience creating data ingestion, ETL, or feature engineering pipelines that support AI/ML at scale.
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP), plus Docker, Kubernetes, and CI/CD development.
Working knowledge of SQL and database technologies used in enterprise application development.
Ability to collaborate across teams including software engineering, data science, operations, and infrastructure organizations.

Benefits at Micron

Choice of medical, dental, and vision plans in all locations
Benefit programs that help protect your income if you are unable to work due to illness or injury
Paid family leave
Robust paid time-off program
Paid holidays

Preferred qualifications

Master’s degree in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related field, or equivalent experience.
Experience in semiconductor manufacturing, advanced manufacturing, industrial automation, digital twin development, or other high-reliability operational environments.
Experience implementing Generative AI solutions, including RAG architectures, prompt engineering, function/tool calling, agentic workflows, and LLMOps practices.
Experience applying Responsible AI, security, audit logging, and model governance practices within production applications.
Knowledge of GPU-accelerated computing, model optimization techniques, and deploying AI workloads in cloud and edge environments.
Hands-on experience with digital twin and simulation platforms, including NVIDIA Omniverse, Gazebo, Unity Robotics Hub, Siemens Tecnomatix, and Unreal Engine, plus Autodesk stack tools (Revit, Navisworks, ACC, ReCap) including point-cloud processing, photogrammetry, Gaussian splatting, and geometry optimization via IFC and Revit APIs.
Experience integrating robotics, autonomous mobile robots (AMRs), industrial automation, and IoT sensor networks into software applications, including robotics development in ROS/ROS 2 and Isaac Sim/Lab, plus SLAM perception, LiDAR/depth-camera data processing, and sim-to-real transfer (imitation learning, domain randomization).
Proven experience integrating SCADA/FMCS/BMS systems for smart facilities and EHS, ideally in semiconductor, data center, pharmaceutical, or other critical/cleanroom environments.

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6d ago

Applied AI Engineer, Video Agent

HeyGen San Francisco, CA

San Francisco, CA

6d ago

$180k - $240k/yr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

HeyGen is hiring an Applied AI Engineer for the Video Agent team to help build, evaluate, and ship an AI agent that converts prompts and assets into finished videos.

Responsibilities

Build the agent: design the tools, prompts, and context the agent uses
Improve planning quality and recovery from mistakes
Enhance support for long, multi-turn conversations
Measure quality by building evals and creating offline replays of real sessions
Run experiments using feature flags, review results honestly, and interpret what improved performance
Monitor real user sessions and agent traces to diagnose where failures occur
Ship across the stack by building user-facing features with TypeScript and React
Develop backend services and long-running workflows in Python and Go
Collaborate with product managers, design, research, and rendering teams the agent depends on

Requirements

Experience building and shipping an AI agent used by real people, where a model calls tools, plans across multiple steps, and acts on results
Ability to evaluate improvement: built evals or test sets for model behavior and can distinguish real gains from noise
2+ years of professional experience as a full-stack engineer
Fluency with TypeScript and React (frontend)
Fluency with Python (backend)
Strong product sense: uses what you build, cares about user experience, and analyzes real customer usage
Ownership mindset: doesn’t wait for a spec, identifies the most important problem, fixes it, and communicates what changed

Technologies

TypeScript
React
Python
Go
A/B tests
Feature flags

Benefits

$180,000 – $240,000 annually
Equity in a high-growth AI company
401K match
Health, dental, and vision benefits
Flexible PTO
Opportunity to help define a new category in AI video
High ownership, high velocity, and direct impact on revenue growth

Nice to Have

Fine-tuned models experience
Experience working on code-to-video models (video generation by writing code such as HTML or animation scripts)
Experience working on video agent models

Application: Show Us an Agent You’ve Built

Include a short note (a few sentences) describing an agent you built: what it does, how you measured whether it worked, and one failure you found and fixed
Code, demo, or write-up is a bonus

Location: San Francisco, CA (onsite)

Minimum experience: 2 years

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9d ago

Senior Full-Stack AI Engineer

Everforth CyberCoders San Francisco, CA

San Francisco, CA

9d ago

$180k - $250k/yr Full time Backend Developer Senior Application Security

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Job Description

Everforth is hiring a Senior Full-Stack AI Engineer to deploy AI systems into regulated healthcare environments in an onsite San Francisco role.

Responsibilities

Lead architectural decisions for deploying AI into clinical workflows at scale
Build and mentor the technical team; set engineering standards, review designs, develop engineers
Own major healthcare AI systems end-to-end, from customer discovery and requirements through architecture, implementation, and production reliability
Set expectations for code quality, testing practices, and operational excellence
Identify and build customer-facing features that expand impact in existing and new markets
Partner directly with founders on product and technical strategy
Navigate stakeholder environments across clinical, compliance, and business teams with authority and credibility
Define and execute technical strategy for healthcare AI systems, including scope, architecture, and delivery
Build and lead intelligent data pipelines, multi-step agent workflows, and systems that parse medical information at scale
Ensure integrations meet healthcare standards and interoperability requirements
Own deployment strategy, monitoring, and continuous improvement across production systems
Lead by example on shipping rigor, testing discipline, and operational discipline
Mentor engineers on design, shipping, and technical decision-making
Maintain credibility across technical, clinical, and business stakeholders

Requirements

5+ years of experience
Experience with React and Python
Production LLM experience
Comfort working in a startup environment

Tech Stack

Backend: Python, FastAPI, PostgreSQL, data validation frameworks, workflow orchestration
Frontend: TypeScript, React, modern build tooling, component libraries
Infrastructure: AWS services, Terraform, containerization, GitHub Actions, monitoring and observability
AI/ML: Leading LLM providers in production

Compensation & Benefits

Base salary: USD 180,000 - 250,000 per year (calibrated to experience and impact)
Stock options: 0.3% - 1.0%
Medical, dental, and vision coverage
Generous time off; Unlimited PTO
Immigration support available
Visa sponsorship: H-1B, O-1
Top-tier equipment and developer tools; latest MacBook and AI coding tools
Regular team gatherings and weekly team lunch in the SF office
San Francisco office full-time presence required (onsite role)
For this position, must currently be authorized to work in the United States without the need for sponsorship for a non-immigrant visa
CyberCoders will consider qualified applicants with criminal histories for employment in the City of Los Angeles consistent with the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance

Location

San Francisco, CA (onsite)

Mission

Deploy AI into regulated healthcare environments where accuracy matters and failure is not an option
Build intelligent systems to extract meaning from complex patient records and augment clinician workflows
Operate with rigor and auditable steps for every part of the workflow

Position posted by CyberCoders on 09/29/2026; applications accepted on an ongoing basis until the position is filled or closed.

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13d ago

Senior Software Engineer, AI Engineer

Midi Health San Francisco, CA

San Francisco, CA

13d ago

$170k - $210k/yr Full time Senior Agentic Ai Ai Agent

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Job Description

Design and deliver LLM-powered capabilities that are safe, well-evaluated, and integrated into real clinical and operational workflows.

Responsibilities

Design, build, and ship LLM-powered features end-to-end, including prompt design, retrieval, tool use, agents, evaluation, and production operations
Develop evaluation harnesses and feedback loops to support responsible release of AI features
Embed AI capabilities deeply into patient, clinician, and operational workflows
Collaborate with clinical, product, and safety stakeholders to define what “good” looks like
Improve internal AI-for-engineering practices and tooling
Stay close to research and the ecosystem, translating strong ideas back into the team’s engineering work

Requirements

6+ years of software engineering experience, including meaningful recent time building production LLM / ML features
Strong hands-on coding ability in Python; comfortable spanning the stack when the feature needs it
System design experience for AI systems, including retrieval, orchestration, caching, evaluation, and cost and latency tradeoffs
Deep, hands-on command of modern AI coding tools; consistently adopts new techniques from the frontier
Mentorship instincts and willingness to share what you learn
High standards for evaluation and safety, avoiding vibes-only launches
Strong communication; able to explain model behavior to non-technical stakeholders
Low-ego, curious, and humble

Technologies

Python
LLM
ML
Claude Code
Cursor
Copilot

Location and Employment

San Francisco, CA (hybrid)
Hybrid by design: two days per week in-office (Tuesday and Thursday) in Palo Alto or San Francisco
Full-time W2

Compensation

USD 170,000 - 210,000 per year

Nice to Have

Experience with healthcare, clinical NLP, or regulated AI deployments
Experience building agentic systems or production RAG at scale

Interview Process

Recruiter Screen (30 min)
Hiring Manager Screen (45 min)
Live Technical Assessment (3 sessions, 150 min total)
On-Site Interview and Lunch (4 sessions, 150 min total)

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Full Stack Ai Data Jobs

Staff / Principal Full Stack AI Engineer (Industrial AI)

Applied AI Engineer, Video Agent

Senior Full-Stack AI Engineer

Senior Software Engineer, AI Engineer

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