Agentic AI/ML Engineer -Hybrid (Only w2 consultants)
Auburn Hills, MI-2 days onsite
12 months
Need 10+ plus years experience
We are seeking a highly skilled Senior Agentic AI Engineer to join our team and drive the development of cutting-edge autonomous AI systems. This role focuses on building sophisticated AI agents that can reason, plan, and execute complex tasks with minimal human intervention.
## Position Summary
As a Senior Agentic AI Engineer, you will design and implement intelligent agent systems using state-of-the-art frameworks and technologies. You'll work at the intersection of large language models, knowledge graphs, and distributed systems to create AI solutions that can autonomously handle complex workflows and decision-making processes.
## Key Responsibilities
**Agent Development & Architecture**
- Design and implement multi-agent systems using LangGraph for complex workflow orchestration
- Build autonomous AI agents capable of planning, reasoning, and task execution
- Develop agent communication protocols and coordination mechanisms
- Create robust error handling and recovery systems for agent workflows
**AI Infrastructure & Integration**
- Implement and optimize LangChain pipelines for agent reasoning and tool usage
- Design and maintain vector database solutions for knowledge retrieval and semantic search
- Build scalable data ingestion pipelines for structured and unstructured data
- Integrate Google Cloud AI services including Vertex AI, Gemini, and PaLM models
**Backend Development & APIs**
- Develop high-performance APIs using FastAPI for agent interaction and monitoring
- Implement real-time streaming capabilities for agent responses and status updates
- Build monitoring and observability systems for agent performance tracking
- Create robust authentication and authorization systems for agent access
**Data & Knowledge Management**
- Design and implement RAG (Retrieval-Augmented Generation) systems
- Optimize vector embeddings and similarity search algorithms
- Build knowledge graph integration for enhanced agent reasoning
- Implement efficient caching and data persistence strategies
## Required Technical Skills
**Core AI/ML Frameworks**
- Expert-level proficiency with LangGraph for agent workflow orchestration
- Deep experience with LangChain for LLM application development
- Hands-on experience with Google Cloud AI services (Vertex AI, Gemini, PaLM)
- Strong understanding of prompt engineering and LLM optimization techniques
**Data & Storage**
- Proficiency with vector databases (Pinecone, Weaviate, Chroma, or similar)
- Experience with traditional databases (PostgreSQL, MongoDB)
- Knowledge of data ingestion frameworks and ETL pipelines
- Understanding of embedding models and semantic search optimization
**Python Development**
- Advanced Python programming skills with 10+ years of experience
- Expert-level FastAPI development for building scalable APIs
- Proficiency with async/await patterns and concurrent programming
- Experience with Python ML libraries (NumPy, Pandas, scikit-learn)
- Knowledge of testing frameworks (pytest, unittest) and CI/CD practices
**Cloud & Infrastructure**
- Hands-on experience with Google Cloud Platform (GCP)
- Proficiency with containerization (Docker) and orchestration (Kubernetes)
- Experience with cloud storage solutions and data pipelines
- Understanding of microservices architecture and distributed systems
## Preferred Qualifications
**Additional Technical Skills**
- Experience with other agent frameworks (AutoGPT, CrewAI, TaskWeaver)
- Knowledge of graph databases (Neo4j, Amazon Neptune)
- Familiarity with streaming frameworks (Apache Kafka, Redis Streams)
- Experience with monitoring tools (Prometheus, Grafana, LangSmith)
**AI/ML Expertise**
- Understanding of transformer architectures and attention mechanisms
- Experience with fine-tuning and adapting large language models
- Knowledge of reinforcement learning for agent training
- Familiarity with multi-modal AI systems (vision, text, audio)
**Development Experience**
- Experience with frontend frameworks (React, Vue.js) for agent interfaces
- Knowledge of WebSocket programming for real-time applications
- Familiarity with message queues and event-driven architectures
- Experience with performance optimization and scalability challenges
