Senior Software/AI Native Engineer

Requirements

• Daily hands-on experience with GitHub Copilot and/or Claude Code CLI
• Personally built and deployed AI agents, LLM integrations, or agentic workflows into production
• Strong AWS cloud expertise
• Software engineering fundamentals: Microservices, APIs, DevOps, CI/CD & Cloud-Native Architecture
• Recent hands-on coding experience within the last 6 months
• Preferred: Model Context Protocol (MCP) servers and integrations
• Preferred: Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Strands
• Preferred: AWS Bedrock Agents, OpenAI APIs & Anthropic APIs
• Preferred: Production RAG Systems and Retrieval Quality Evaluation
• Preferred: LLM Observability: Langfuse, LangSmith, Braintrust & W&B
• Preferred: AI Governance, Guardrails, Prompt Injection Defense & Responsible AI
• Preferred: Internal Developer Platforms and AI-powered engineering tools
• Ideal Candidate Profiles: Senior / Staff Software Engineer; AI Engineer / Applied AI Engineer; Forward Deployed Engineer (FDE); Platform Engineer; Full-Stack Engineer focused on AI products; Member of Technical Staff
• Candidates must demonstrate practical, daily usage of GitHub Copilot and/or Claude Code CLI, personal ownership of a production AI solution, strong AWS expertise, and recent hands-on software development experience.
• Priority will be given to candidates with MCP development, production AI agents, AWS Bedrock, RAG systems, and LLM evaluation experience.

Pay

• Rate: $50/hr C2C (VMS 5%)

How to apply

• Share your updated resume via DM.

Location

• St. Louis, MO
• New York City, NY
• Jersey City, NJ
• Arlington, VA