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Posted: 10/20/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and iterating on AI agents using Go and Python, with a strong focus on prompt engineering, agent orchestration, and LLM applications. Proven ability to mentor engineers and drive architecture decisions while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Go ProgrammingPython ProgrammingLLM Application DevelopmentPrompt EngineeringAPI Design
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, build, and iterate on AI agents in Go/Python using an orchestrator/sub-agent architecture
- Cover intent interpretation, delegation, and safe action execution
- Own eval-driven development, including golden datasets, scorers, and regression suites
- Track critical quality metrics such as discovery recall and quote accuracy
- Develop and refine prompts and model configurations as versioned, tested artifacts
- Integrate agents with MCP servers and backend tools
- Define safe tool-call contracts, approval flows for write actions, and guardrails against prompt injection and abuse
- Instrument agents with tracing, metrics, and cost tracking
- Use production signals to drive quality improvements
- Collaborate with product designers and frontend engineers on conversational experiences
- Build proof-of-concept agents to validate user stories and harden them to GA quality
- Drive architecture decisions on ambiguous problems
- Mentor engineers in agent engineering practices
Requirements
What you’ll need- 5+ years of experience in backend or full-stack software development
- Hands-on experience building agentic AI/LLM applications
- Preferred minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience
- Strong and proven development skills in Go, Python, Ruby, or PHP
- Production experience with LLMs such as Gemini, Anthropic, or OpenAI
- Experience building LLM evaluation datasets, 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 using gRPC, GraphQL, or REST
- Experience integrating data across systems
- Hands-on experience building MCP servers or LLM tool integrations
- Excellent problem-solving skills
- Strong collaboration and communication skills in cross-functional teams
- Strong preference toward execution and delivery
- Preferred experience with Google ADK, LangChain/LangGraph, Semantic Kernel, or similar agent frameworks
- Preferred experience with Braintrust, LangSmith, or similar evaluation/observability platforms
- 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
Benefits
Comp & perks- Remote-first work environment
- Optional collaborative workspaces in Austin, Atlanta, and London
- Variable compensation such as bonus or commission, where applicable
- Equity, where applicable
- Benefits in accordance with local policies
- Inclusive and accessible hiring experience
- Government ID and biometric verification process via Persona
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend DevelopmentFull-Stack DevelopmentAgent OrchestrationEvaluation Dataset CreationGRPCGraphQLRESTMCP Server IntegrationTool/Function CallingQuality Metrics Tracking
Soft Skills
Problem-SolvingCollaborationCommunicationExecution FocusMentoring
Tools & Technologies
Google ADKLangChainLangGraphSemantic KernelBraintrustLangSmith
Certifications & Qualifications
Bachelor's Degree in CSEESWCEMIS
Industry Keywords
Conversational AINatural Language ProcessingE-CommerceSaaS DevelopmentRAG Systems