Job Description
We are seeking to hire an AI Engineer to join an AI software development company based in Denver, CO. In this role, you will design, build, and optimize multi-agent systems using LangGraph on GCP. You will develop agent behaviors, context-passing logic, tool orchestration, and context & prompt-engineering strategies that support complex business-analysis workflows. You will also collaborate closely with full-stack developers to ensure front-end interactions map cleanly to back-end agent functionality. Comfort working with code-generation agents and AI-assisted development tools is important.
Required Skills & Experience
- 3+ years of experience in Python software engineering or AI/ML engineering.
- Strong knowledge of LangChain / LangGraph, agent architectures, tool calling, and multi-step LLM workflows.
- Deep understanding of prompt engineering, retrieval design, context windows, and token-efficiency optimization.
- Experience deploying microservices on Cloud Run or similar serverless environments.
- Experience using or developing code-generation agents (e.g., using GPT-4/5, Codex, Copilot, or custom agents).
- Familiarity with GCP services such as Firestore, Cloud Storage, Cloud Functions, or Pub/Sub.
Key Responsibilities
- Design and extend LangGraph-based agent workflows to support complex consulting and business-analysis tasks.
- Develop Python microservices and deploy them on GCP Cloud Run.
- Create high-quality prompt engineering patterns, retrieval strategies, and context-management mechanisms.
- Implement agent-to-agent and agent-to-front-end communication patterns, including serverless API endpoints.
- Work closely with front-end teams to ensure UI flows successfully trigger and interact with AI agents.
- Integrate vector stores, embeddings, and context serialization pipelines where needed.
- Evaluate new LLM capabilities and improve agent performance, reliability, and correctness.
- Use and contribute to internal code-generation agents, helping improve agent-driven development workflows.
Nice to Have Skills & Experience
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Experience with system-prompt architecture and LLM evaluation frameworks.
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Familiarity with React workflows to better align agent outputs with UI behavior.
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Experience with MCP service integrations
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Background in business analysis, operations consulting, or enterprise workflow automation.
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Understanding of MLOps or lightweight data pipelines.
Job Features
| Job Category | AI, IT, Software Engineer |
| Pay rate | $120k - $135k (estimate) |
| Job type | Permanent |
| Shift and schedule | Monday to Friday |
| Location | Denver, Colorado |