Agentic AI Engineer -Auburn Hills, MI-2 Days Onsite : Contract on W2

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Marvel Technologies Inc, is seeking the following. Apply via Dice today! Agentic AI/ML Engineer -Hybrid (Only w2 consultants) Auburn Hills, MI-2 days onsite 12 months Need 8 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 (Google Cloud Platform) • 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