Job Description
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.
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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.
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Basic Qualifications – Must Have
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• 7+ years of experience in hands-on software engineering, including Microservices, APIs, cloud-native applications, and enterprise software development.
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• 3+ years of strong hands-on experience with AWS, DevOps/CI-CD, and cloud-native architecture.
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• Proven hands-on experience personally building and deploying an AI agent, LLM integration, or agentic workflow into a production environment.
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• Current hands-on development experience, with active individual-contributor coding experience within the last 6 months.
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• 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.
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Technical Skills
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• Agentic AI: AI Agents, Agentic Workflows, Tool Calling, Multi-Agent Systems
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• Agent Frameworks: LangGraph, LangChain, CrewAI, AutoGen, Strands, Bedrock Agents
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• Protocols: Model Context Protocol (MCP)
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• AI/LLM Platforms: AWS Bedrock, Anthropic APIs, OpenAI APIs, Azure AI Foundry
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• Cloud: AWS
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• Architecture: Microservices, REST APIs, Event-Driven Architecture, Cloud-Native Applications
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• AI Coding Tools: GitHub Copilot, Claude Code CLI
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• DevOps: Git, CI/CD, automated testing and deployment
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• LLM Observability: Langfuse, LangSmith, Braintrust, Weights & Biases
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• AI Patterns: RAG, Embeddings, Vector Search, LLM Evaluation, Guardrails