1,045 applied ai engineer jobs at 556 companies in United States
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
General Matter: Produces enriched uranium and nuclear fuel for power generation.
BS or higher in engineering, physics, chemistry, applied math, or related technical field; proficiency in Python; experience building AI tools; strong AI and engineering fundamentals; ships prototypes; able to work across neutronics, safety, data, and manufacturing.
QuoteWell: Tech-enabled wholesale brokerage for complex commercial insurance placements.
1+ YOE1+ years shipping production software; Python or TypeScript experience preferred; strong engineering fundamentals; hands-on or fast-learning applied AI aptitude; customer-facing troubleshooting and travel (~25%).
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years engineering experience building production backend/distributed systems and shipping AI/LLM features; proficiency in Python, cloud infrastructure, Kubernetes, and production debugging.
Python, Go, TypeScript, Rust, AWS, GCP, Azure, Docker, Kubernetes, LangGraph, CrewAI, Claude Agent SDK, Google ADK, OpenAI ADK, Model Context Protocol (MCP), Langfuse, Arize, Braintrust, W&B
Booz Allen HamiltonNYSE: BAH: Provides technology and management consulting services to diverse organizations.
3+ YOE3+ years in software engineering, applied AI/ML or full-stack development; Python; API endpoints; AI solutions; TS/SCI clearance; Bachelor's degree.
Corridor: Secures software codebases using AI-powered autonomous vulnerability detection.
3+ YOE3+ years engineering or ML experience, production shipping experience, hands-on LLM work and evaluation, product-minded and self-directed, experience improving AI systems end-to-end.
Artos: AI-powered document authoring platform for life sciences R&D.
2+ YOE2+ years building and deploying AI/ML applications, hands-on LLM experience, backend engineering with Python, API development (FastAPI/Django), cloud container deployment, R&D on model capabilities, and evaluation tooling experience.
ICW Group: Provides workers' compensation and specialty property and casualty insurance.
3+ YOEBachelor’s degree in CS/Data Science/Applied Math; 3+ years AI/ML engineering, 1–2 years generative AI; cloud deployment in AWS; Snowflake experience; Python proficiency; containerization and ML tooling knowledge.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Design and build applied AI systems for hardware and software engineering workflows; strong software engineering skills and experience with AI toolchains and validation; bachelor’s degree or equivalent experience required; master’s/PhD preferred.
Sol: AI-native HRIS platform for modern workforce management.
Experience building production AI systems and infrastructure, designing evaluation frameworks, prioritizing explainability, privacy and compliance, and making model/tooling tradeoff decisions.
Roger Healthcare: AI clinical documentation platform for home health clinicians.
7+ YOE7+ years software engineering with AI/ML depth, experience training/fine-tuning LLMs, shipping AI products, strong eval/observability skills, agentic systems experience, and product/startup mindset.
Amigo: AI infrastructure for building and training clinical healthcare agents.
Build and ship reliable production AI agents for clinical workflows; comfortable with LLMs, ownership mindset, Python experience preferred, ability to work onsite in San Francisco.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
3+ YOEPhD in a quantitative field with 3+ years in applied AI or MS with 6+ years, strong Python and AI frameworks, experience with LLMs and agentic workflows, production-ready AI solutions, and collaboration across teams.
New York City or Santa Monica or Los Angeles or New York
HybridFull Time
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
Experienced applied AI/ML engineer able to design, train, and deploy production models and workflows, run experiments, and own AI-driven product surfaces; must be authorized to work in the U.S. without sponsorship.
Homeward: Offers financial products for buying and selling residential homes.
4+ YOE4+ years backend development experience; production AI/ML and LLM API experience; strong Python and framework skills (Django/Flask/FastAPI); experience with prompt design, reliability, CI/CD, and strong communication.
Arcade: Infrastructure for AI agents to securely interact with external applications.
5+ YOE5+ years software engineering with at least 2 years shipping production ML or applied‑AI systems; strong Python; LLM application depth; multi-tool/workflow design; scalable evals and statistics; comfortable with frontier models; hands-on shipping mindset.
Wells FargoNYSE: WFC: Global provider of banking, investment, and mortgage financial services.
5+ YOE5+ years software engineering with 3+ years applying ML/AI to production; experience with transformer/foundation models, evaluation, observability, and compliance for production AI; strong full-stack engineering and communication skills.
Parametrix: Employee-owned engineering, planning, and environmental consulting firm.
Strong software engineering and applied AI experience with Python, Git workflows, LLM integrations, AI agent development, REST API integration, and enterprise security/governance knowledge.
Python, Git, Claude, ChatGPT, Azure AI Foundry, Microsoft Copilot, Microsoft 365, REST APIs, C#, .NET, React, TypeScript, Microsoft Copilot Studio, Power Platform, SQL, Semantic Kernel, Model Context Protocol (MCP), vector search, retrieval-augmented generation (RAG), Microsoft Agent Framework
Honor Technology: Provides technology and professional care services for in-home senior care.
Experienced engineer able to build production-grade systems with Python/Node.js, relational databases, LLM/AI integrations, observability, secure data access, and strong communication; willing to join on-call rotation.
OpenRouter: Unified interface for accessing and routing large language models.
Experience building internal agentic tooling and production LLM/agent systems, backend engineering strength, security and reliability mindset, domain fluency in support or GTM, and data-driven evaluation skills.