Description

Design and implement end-to-end generative AI solutions for client applications.

This role is on-site.

Responsibilities

• Build and implement RAG architectures, including embedding, chunking, vectorization, and orchestration using LangChain or AutoGen.
• Fine-tune open source models, perform prompt engineering, templating, and library building.
• Design and deploy AI solutions while solving complex technical problems.
• Collaborate closely with clients to provide actionable technical guidance and interface with diverse stakeholders.

Required Skills

• 5+ years of experience in AI/ML development.
• Hands-on expertise with RAG architecture and orchestration frameworks like LangChain or AutoGen.
• Deep understanding of Transformer models, GANs, and VAEs.
• Proficiency in TensorFlow, PyTorch, and scikit-learn.
• Experience with ChatGPT LLM, Gemini, and Databricks.
• Familiarity with ML Flow, Driver H20, and the Azure cloud ecosystem.
• Proven track record in customer-facing or consulting roles.

Preferred Skills

• Experience managing end-to-end AI lifecycles from design to production.

Key Skills

Education

Any Gradute