Technology Lead Generative & Agentic AI

Qualifications

• AI ML engineer with good working experience on AI technology and hands on expertise in support operations Handson expertise in Generative AI, Agentic AI, and ClientP server environments
• Proficiency in frameworks such as LangChain, LangGraph, and A2A
• Solid understanding of algorithm development and tuning for AIML applications
• Experience with cloud platforms, preferably Google Cloud
• Strong programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch)
• Minimum years of experience
• 8-10 years
• Certifications Needed :No
• AI ML engineer with good working experience on AI technology and hands on expertise in support operations Handson expertise in Generative AI, Agentic AI, and ClientP server environments
• Proficiency in frameworks such as LangChain, LangGraph, and A2A
• Solid understanding of algorithm development and tuning for AIML applications
• Experience with cloud platforms, preferably Google Cloud
• Strong programming skills in Python and familiarity with ML libraries TensorFlow, PyTorch
• Interview Process (Is face to face required?)

Responsibilities

• Top 3 responsibilities you would expect the Subcon to shoulder and execute

Full Description

Job Title Technology Lead | Artificial Intelligence | Artificial Intelligence - ALL

Work Location & Reporting Address Raleigh, NC 27617

Vendor Rate.

Contract duration 6

Target Start Date 24 Dec 2025

Job Details:

Must Have Skills

AI ML engineer with good working experience on AI technology and hands on expertise in support operations Handson expertise in Generative AI, Agentic AI, and ClientP server environments.

Proficiency in frameworks such as LangChain, LangGraph, and A2A.

Solid understanding of algorithm development and tuning for AIML applications.

Experience with cloud platforms, preferably Google Cloud.

Strong programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch).

Minimum years of experience

8-10 years

Certifications Needed :No

Top 3 responsibilities you would expect the Subcon to shoulder and execute

AI ML engineer with good working experience on AI technology and hands on expertise in support operations Handson expertise in Generative AI, Agentic AI, and ClientP server environments.

Proficiency in frameworks such as LangChain, LangGraph, and A2A.

Solid understanding of algorithm development and tuning for AIML applications.

Experience with cloud platforms, preferably Google Cloud.

Strong programming skills in Python and familiarity with ML libraries TensorFlow, PyTorch.

Interview Process (Is face to face required?) No