

Senior Agentic AI Engineer (NO H1B)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Agentic AI Engineer for a 6-month contract, offering $55.00 - $60.00 per hour. Located in Auburn Hills, MI (Hybrid), it requires expertise in LangGraph, LangChain, Google Cloud AI services, and advanced Python development.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date discovered
August 28, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Auburn Hills, MI 48326
-
π§ - Skills detailed
#Scala #Docker #AI (Artificial Intelligence) #PostgreSQL #Kubernetes #Knowledge Graph #MongoDB #Langchain #Monitoring #Pytest #ML (Machine Learning) #Microservices #"ETL (Extract #Transform #Load)" #Data Ingestion #Storage #Programming #Cloud #Libraries #GCP (Google Cloud Platform) #FastAPI #Observability #NumPy #Databases #Data Pipeline #Python #Pandas
Role description
Greetings from IT Engagements
Role:Senior Agentic AI Engineer (NO H1B)Location: Auburn Hills, MI ( Hybrid)
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
Thank you
vinaya@itengagements.com
Job Type: Contract
Pay: $55.00 - $60.00 per hour
Expected hours: 40 per week
Work Location: Hybrid remote in Auburn Hills, MI 48326
Greetings from IT Engagements
Role:Senior Agentic AI Engineer (NO H1B)Location: Auburn Hills, MI ( Hybrid)
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
Thank you
vinaya@itengagements.com
Job Type: Contract
Pay: $55.00 - $60.00 per hour
Expected hours: 40 per week
Work Location: Hybrid remote in Auburn Hills, MI 48326