AI/ML Engineer - GenAI & Agentic AI
DeepData Inc.
- Job
- 28321
- Posted
- Location
- West Chicago, IL
- Work type
- Full Time
- Tax terms
- W2, Yearly
- Experience
- Experience open
- Openings
- 1 opening
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Skills
- Python
- FastAPI
- AWS
- Requirements
- Machine Learning
- PyTorch
- TensorFlow
- MLOps
- NLP
About the job
AI/ML Engineer - GenAI & Agentic AI
Introduction:
As an AI/ML Engineer specializing in GenAI & Agentic AI, you will play a crucial role in developing and implementing cutting-edge artificial intelligence solutions. You will work with a talented team to create innovative AI applications and contribute to the advancement of machine learning technologies.
Responsibilities:
- Develop and implement GenAI applications using Python, FastAPI, and other relevant tools
- Utilize GenAI, LLM, and NLP techniques to enhance the functionality of AI applications
- Work with LangChain, LangGraph, RAG, Embeddings, and Vector Stores to optimize AI performance
- Design and integrate AI agents, MCP, and tools for efficient AI operations
- Collaborate on LangSmith, LangFuse, PyTorch, TensorFlow, and MLflow projects to improve AI capabilities
- Utilize AWS and MLOps for seamless AI deployment and management
- Implement Agentic RAG and AI orchestration strategies for effective AI solutions
- Experience with AutoGen and CrewAI is a plus
- Contribute to the production of GenAI applications, agent design, state/memory management, graph-based orchestration, and secure enterprise deployments
Requirements:
Required Skills:
- Proficiency in Python and FastAPI
- Experience with GenAI, LLM, and NLP technologies
- Familiarity with LangChain, LangGraph, RAG, Embeddings, and Vector Stores
- Knowledge of AI agents, MCP, and tool integration
- Understanding of LangSmith, LangFuse, PyTorch, TensorFlow, and MLflow
- Expertise in AWS and MLOps for AI deployment
- Experience with Agentic RAG and AI orchestration
Preferred Skills:
- Experience with AutoGen and CrewAI
- Microsoft Certified Professional (MCP) certification