Senior Backend Engineer (AI Agent)
$116,000–$195,000 year
HybridAtlanta, Georgia, United States or Austin, Texas, United States
Job Summary
Design and iterate AI agents in Go/Python using orchestrator/sub-agent architectures for intent interpretation, delegation, and safe action execution. Own eval-driven development by building golden datasets, scorers, and regression suites to ensure agent quality. Integrate agents with MCP servers and backend tools, defining safe tool-call contracts and guardrails against prompt injection. Instrument systems with tracing, metrics, and cost tracking to drive quality improvements based on production signals. Collaborate with product and frontend teams to deliver conversational experiences and mentor engineers in agent engineering practices.
Required Qualifications
- 5+ years of experience in backend or full-stack software development
- hands-on experience building agentic AI/LLM applications
- Strong and proven development skills in any major language (Go/Python/Ruby/PHP)
- Experience working with LLMs (Gemini, Anthropic, OpenAI, etc.) in production systems
- Experience with LLM evaluation: building datasets, defining scorers/metrics, and using eval results to drive iteration
- Strong understanding of prompt engineering, tool/function calling, and agent orchestration patterns
- Deep experience designing and building APIs (gRPC, GraphQL, REST) and integrating data across systems
- Hands-on experience building MCP servers or LLM tool integrations
- Excellent problem-solving skills and ability to work in a fast-paced, exploratory environment
- Strong collaboration and communication skills in cross-functional teams
- For candidates based in the Austin or Atlanta metro area, the position follows a hybrid work model with three days per week in the office
Desired Qualifications
- Education: Preferred minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience
- Preferred: Experience with agent frameworks (Google ADK, LangChain/LangGraph, Semantic Kernel, or similar)
- Preferred: Experience with evaluation/observability platforms (Braintrust, LangSmith, or similar)
- Preferred: Experience with RAG systems and retrieval quality tuning
- Preferred: Experience with e-commerce platforms or SaaS product development
- Preferred: Background in conversational AI or natural language processing
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