> Markdown version of [/jobs/ext/4026495-ai-developer](https://www.wearedevelopers.com/jobs/ext/4026495-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer - **Company:** Epitec, Inc. - **Location:** Palo Alto, CA, United States - **Experience:** Experienced - **Salary:** $117,166.0 - **Contract:** Temporary contract - **Skills:** LangGraph Framework, AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, User Authentication, Cloud Computing, Databases, Cursor, Document Retrieval, Python (Programming Language), NoSQL, OAuth, Role-Based Access Control, Regression Testing, OpenAI, Security Assertion Markup Language (SAML), Software Engineering, SQL Databases, Systems Architecture, Cloud Platform System, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Claude Code, Grafana, Multi-Agent Systems, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, LangSmith, Data Lineage, Graphql, Claude, Model Context Protocol, Model Inference, Agent SDK, Human in the Loop, Docker - **Published:** October 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-developer-palo-alto-ca--976de03b-4cb3-4e1a-b164-1b9880119bc4 ## About the Role Artificial Intelligence (AI), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Memory Hardware, Regression Testing, MCP - Microsoft Certified Professional, Proof of Concept, Application Programming Interface (API), Cloud Computing, Production Systems, * 5+ years of professional software engineering experience required. * 2+ years of experience focused on applied AI within production systems required., * Strong hands-on Python and/or Go development experience, with the ability to work in both. * Proven production experience building multi-agent or agent-driven AI systems. * Experience with modern agent frameworks such as LangGraph, Google ADK, Mastra, or Claude Agent SDK. * Experience with MCP, AI/LLM orchestration, and leading AI SDKs such as OpenAI or Anthropic. * Strong backend and systems architecture experience. * Experience with AWS and/or GCP cloud environments. * Experience with REST and/or GraphQL APIs. * Knowledge of authentication and authorization including OAuth2, SAML, API keys, and RBAC. * Experience with SQL and NoSQL databases. * Strong communication and cross-functional collaboration skills., * AI evaluation/observability tools such as Langfuse, LangSmith, or Braintrust. * Experience building custom MCP servers. * Docker and Kubernetes experience. * RAG (Retrieval-Augmented Generation) and document retrieval pipelines. * Vector databases, embeddings, chunking strategies, and hybrid search. * AI governance, guardrails, data lineage, and auditability. * AI inference/cost optimization experience. * Experience with AI development tools such as Claude Code, GitHub Copilot, Cursor, or Windsurf. * Ability to work independently in fast-moving, ambiguous environments and take projects from concept through production. ## Description We are seeking an experienced Applied AI Developer to build and scale production-ready AI solutions and agentic systems. This role will focus on developing AI agents, orchestration frameworks, enterprise integrations, evaluation systems, and governance practices while partnering with engineering, product, security, and business teams., * Design, build, and scale agentic and multi-agent AI systems. * Develop agent orchestration, reasoning, memory, tool integrations, and human-in-the-loop workflows. * Build automated AI evaluations, simulations, and regression testing frameworks. * Develop and integrate MCP (Model Context Protocol) solutions. * Create AI governance patterns, guardrails, auditability, and responsible AI practices. * Build pilots and proofs-of-concept and transition successful solutions into production. * Integrate AI solutions with enterprise APIs, databases, and cloud environments. * Collaborate across engineering, product, security, operations, and business teams. * Ensure solutions are scalable, reliable, secure, performant, and cost-efficient.