Gen AI Lead (AI)

TL;DR

Gen AI Lead (AI): Building and deploying production-ready Generative AI applications and RAG pipelines with an accent on LLM orchestration, prompt engineering, and agentic frameworks. Focus on designing scalable AI architectures, implementing MLOps pipelines, and integrating vector databases for high-throughput processing.

Company

Global technology services provider helping Global 2000 organizations solve complex challenges through collaborative innovation.

What you will do

• Build, tune, and deploy LLM-based applications using platforms like Vertex AI and Hugging Face.
• Implement advanced Retrieval-Augmented Generation (RAG) pipelines and agentic frameworks.
• Develop robust prompt engineering strategies and reusable prompt templates.
• Integrate GenAI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
• Design and manage high-throughput processing solutions for large amounts of unstructured data.
• Establish MLOps principles and automated CI/CD deployment pipelines for AI models.

Requirements

• 6-10 years of experience in Apps Development or systems analysis.
• Strong foundational knowledge in GenAI, ML, NLP, and Large Language Models.
• Deep hands-on experience with LLMs (Gemini, OpenAI, Claude, Llama, etc.) and RAG implementation.
• Proficiency in Python and libraries such as Pandas, PyTorch, TensorFlow, LangChain, and LlamaIndex.
• Experience with vector databases including Pinecone, PG Vector, Mongo Atlas, or Neo4j.
• Proven experience deploying GenAI models to production using Kubernetes or OpenShift.

Culture & Benefits

• Collaborative innovation culture where ideas are strengthened through dialogue.
• Opportunity to act as a catalyst for change for Global 2000 organizations.
• Inclusive environment as an Equal Opportunity Employer.
• Dynamic atmosphere focused on professional growth and adapting to accelerating technological change.