Detroit Labs
Senior Agentic AI Engineer (Hybrid)
Detroit Labs, Auburn Hills, Michigan, United States, 48326
This role is based in Auburn Hills, Michigan, and follows a hybrid work model, requiring in-office presence three days per week.
Please note: Due to the in-office requirement, we will only be considering candidates that are local to the Metro Detroit area at this time.
Detroit Labs was founded in 2011 with a vision for building digital products, services, and the teams that power them. We create digital solutions that transform the way our clients do business. We build genuine relationships based on respect, trust, and results. We foster a diverse and inclusive culture that values people - providing them with the tools, resources, and support they need to thrive professionally, exceed client expectations, and be themselves at work. We have a variety of client teams we work with ranging from startups to Fortune 500 companies so there are always new and exciting projects going on.
Detroit Labs is looking for experienced Senior Agentic AI Engineers to join an exciting project with an existing client that drives game-changing automotive technology. This role will work on connected vehicle services for customers owning vehicles with connected capabilities across the USA and Canada. These systems consist of several backend, frontend, and middleware applications. The systems integrate with the connectivity units inside the vehicle, and enable features like the ability to remotely start the vehicle, view parking locations, Alexa voice commands, and many more. As a full time member of our Staff by Detroit Labs team, we prioritize your individual career growth by providing optional check-in support, and access to a variety of learning resources to ensure you are always growing and working towards your goals.
Our Application
At Detroit Labs, a member of our team will read over every application (including yours), and will review your resume in addition to your responses to the application questions. To help us get to know you better, we encourage you to answer these questions genuinely and honestly. We value each applicant and want to learn about the real you. Be yourself in your responses, and our team will look forward to understanding what you can bring to this role! 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 Responsibilities
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 Benefits The salary for this role is $125,000 commensurate with experience Full medical, dental, vision benefits 401K contribution options Quarterly outings and events Paid vacation Parental leave program Monthly budgets for “team fun” bonding events Free lunch for various company meetings and Lunch & Learns Access to our mentorship program and employee resource groups (ERGs) Volunteer opportunities All-company remote-friendly activities Plenty of Detroit Labs swag
At Detroit Labs, a member of our team will read over every application (including yours), and will review your resume in addition to your responses to the application questions. To help us get to know you better, we encourage you to answer these questions genuinely and honestly. We value each applicant and want to learn about the real you. Be yourself in your responses, and our team will look forward to understanding what you can bring to this role! 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 Responsibilities
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 Benefits The salary for this role is $125,000 commensurate with experience Full medical, dental, vision benefits 401K contribution options Quarterly outings and events Paid vacation Parental leave program Monthly budgets for “team fun” bonding events Free lunch for various company meetings and Lunch & Learns Access to our mentorship program and employee resource groups (ERGs) Volunteer opportunities All-company remote-friendly activities Plenty of Detroit Labs swag