Senior Agentic AI Engineer

Detroit Labs

full-time

Posted on: 9/5/2025

Location: 🇺🇸 United States

✨ AI Apply

💰 $125,000 per year

Senior

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

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