Detroit Labs

Senior Agentic AI Engineer

Detroit Labs

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $125,000 per year

Job Level

Senior

Tech Stack

CloudDockerGrafanaKafkaKubernetesMicroservicesPrometheusPythonRedis

About the role

  • Design and implement multi-agent systems for reasoning, planning, and autonomous task execution
  • Build and optimize LangChain/LangGraph pipelines for complex workflows and tool usage
  • Develop and scale APIs to power agent interaction, monitoring, and integration with connected vehicles
  • Integrate vector databases, knowledge graphs, and RAG systems for advanced reasoning capabilities
  • Implement real-time streaming capabilities and robust error recovery mechanisms
  • Collaborate across cross-functional teams (Product Owners, Data Scientists, Developers, Designers, etc.)
  • Conduct design/code reviews, provide accurate estimates, and deliver reliable solutions on schedule
  • Stay current on the latest AI/ML research and apply relevant techniques to production environments
  • Work a hybrid schedule, coming into the Auburn Hills office at least three days per week

Requirements

  • 10+ years of professional software engineering experience, with expert-level Python skills
  • Ability to write, debug, and optimize production code
  • 2+ years of hands-on experience building and deploying agentic AI systems in production
  • Experience with LangGraph and LangChain for autonomous agent workflow orchestration
  • Background in FastAPI, async/await, and concurrent programming
  • Experience with Google Cloud AI services (Vertex AI, Gemini, PaLM)
  • Experience with vector databases (Pinecone, Weaviate, Chroma, etc.) and semantic search optimization
  • Experience designing and implementing RAG (Retrieval-Augmented Generation) systems
  • Proficiency with containerization (Docker) and orchestration (Kubernetes) in distributed environments
  • Understanding of microservices and event-driven architectures (Kafka, Redis Streams, or similar)
  • Experience with monitoring and observability tools (Prometheus, Grafana, LangSmith)
  • Familiarity with transformer architectures, LLM fine-tuning, and reinforcement learning for agent training
  • Experience leading projects, mentoring engineers, and delivering production-ready AI systems