FTE: Senior AI Engineer in New York

Job Description

We are seeking a hands-on Senior AI Engineer to design, build, and deliver production-grade AI agents, LLM-integrated applications, and developer productivity tooling on AWS.

The ideal candidate is an experienced software engineer who remains actively involved in coding and uses GitHub Copilot and/or Claude Code CLI as part of their day-to-day development workflow. This role requires proven experience taking agentic AI or LLM-based solutions beyond proof-of-concept into production environments, with strong foundations in cloud- engineering, Microservices, APIs, and DevOps.

Basic Qualifications – Must Have

• 7+ years of experience in hands-on software engineering, including Microservices, APIs, cloud- applications, and enterprise software development.

• 3+ years of strong hands-on experience with AWS, DevOps/CI-CD, and cloud- architecture.

• Proven hands-on experience personally building and deploying an AI agent, LLM integration, or agentic workflow into a production environment.

• Current hands-on development experience, with active individual-contributor coding experience within the last 6 months.

• Demonstrated day-to-day use of GitHub Copilot and/or Claude Code CLI for software development, with the ability to explain specific real-world use cases.

Technical Skills

• Agentic AI: AI Agents, Agentic Workflows, Tool Calling, Multi-Agent Systems

• Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Strands, Bedrock Agents

• Protocols: Model Context Protocol (MCP)

• AI/LLM Platforms: AWS Bedrock, Anthropic APIs, OpenAI APIs, Azure AI Foundry

• Cloud: AWS

• Architecture: Microservices, REST APIs, Event-Driven Architecture, Cloud- Applications

• AI Coding Tools: GitHub Copilot, Claude Code CLI

• DevOps: Git, CI/CD, automated testing and deployment

• LLM Observability: Langfuse, LangSmith, Braintrust, Weights & Biases

• AI Patterns: RAG, Embeddings, Vector Search, LLM Evaluation, Guardrails