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Job description
Translate business outcomes into agent specifications, tool definitions, evaluation criteria, and acceptance gates.
Implement production agentic workflows: retrieval, tool orchestration, structured output, human approval loops, failure handling and fallback.
Own evaluation for your engagement: define what "good" means, build the harness
Run agile ceremonies for the pod; produce estimates and sprint plans
App Development: Build functional applications using large language models (LLMs) and APIs (e.g., OpenAI, Anthropic, open-source Llama).
Required Qualifications
7+ years in software engineering with 2+ years shipping LLM or agentic systems to production.
Hands-on depth in Python or Java/Spring Boot, plus comfort in a modern front-end stack (React/Next.js) when the engagement needs it.
Working knowledge of a major cloud (AWS or Azure) including managed AI services, containers, serverless, and IAM.
Experience with RAG, vector search, and evaluation methodology - including a clear-eyed view of where retrieval is the wrong answer.
Demonstrated technical leadership of a small team on a delivery-pressured project.
Strong written and verbal communication; you can write a design doc a client will actually read.
Preferred
Consulting delivery experience in a regulated vertical (financial services, healthcare, retail data, nonprofit/crisis services).
MCP, A2A, or comparable agent interoperability protocol work.
Snowflake, Collibra, SODA, or data quality tooling exposure.
Experience with contact center or omnichannel platforms (Amazon Connect, Teams, voice).
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.