What are the responsibilities and job description for the Senior Agentic AI Engineer position at Infinite Computer Solutions?
About Infinite:
Infinite is a global leader in digital engineering and IT services, with over 20 years of experience driving digital transformation. We partner with leading Fortune 1000 companies to deliver innovative, scalable technology solutions that accelerate business outcomes.
With deep expertise in telecommunications, healthcare, banking, and finance, Infinite helps organizations optimize and modernize their technology landscapes to achieve long-term growth and efficiency.
About the Role
Build and deploy production-grade AI agent systems on our enterprise GenAI platform. You'll own the full lifecycle — from agent design to cloud deployment — with a pragmatic bias toward simplicity and measurable ROI.
Location : Dallas,Tx
What You'll Do
- Build multi-agent systems using LangGraph, LangChain, Google ADK, and PyVegas following A2A and MCP protocols
- Expose AI logic as FastAPI services with async task handling and streaming
- Own deployments on Cloud Run — Dockerfiles, Cloud Build CI/CD, Cloud SQL, Secret Manager, canary rollouts
- Instrument agents with LangSmith — tracing, evaluation pipelines, prompt versioning, and CI-gated regression tests
- Apply context engineering discipline: RAG re-ranking, token budget management, structured tool responses
- Default to deterministic code; escalate to agents only when the problem genuinely requires reasoning
What You Bring
Required
- 4 years Python engineering with production deployments
- Resource should 8 Years of experience
- 2 years with LangChain / LangGraph (v1.x) — stateful agents, graph compilation, checkpointing
- LangSmith — tracing, evaluations, prompt hub, CI integration
- FastAPI — async endpoints, middleware, background workers
- Docker GCP — Cloud Run, Cloud Build, Artifact Registry, Cloud SQL, Secret Manager
- PostgreSQL for agent state, task queues, and LangGraph persistence
Preferred
- PyVegas or equivalent enterprise LLM platform wrapper
- Google ADK, DSPy, LiteLLM, Vertex AI / Gemini
- A2A / MCP protocol experience
- New Relic or Galileo for GenAI observability
Tech Stack
LangGraph LangChain LangSmith PyVegas Google ADK DSPy LiteLLM FastAPI Cloud Run Vertex AI PostgreSQL Docker MCP A2A