FTE: Senior AI Engineer

We are seeking a hands-on Senior AI Native 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-native engineering, Microservices, APIs, and DevOps. Basic Qualifications – Must Have • 7+ years of experience in hands-on software engineering, including Microservices, APIs, cloud-native applications, and enterprise software development. • 3+ years of strong hands-on experience with AWS, DevOps/CI-CD, and cloud-native 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-Native 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 Show more Show less