Gen AI Lead

Responsibility

Location: Noida

Experience: 5+Years

Job Type: Contract (6 Months + Extendable)

Role Summary:

 We are seeking an experienced GenAI Lead to drive the design, development, and deployment of Generative AI solutions across business use cases. The role involves technical leadership, hands-on development, and collaboration with cross-functional teams to deliver scalable and responsible GenAI applications.

Job Description /Responsibilities:

• Lead end-to-end development of Generative AI solutions using LLMs for enterprise use cases (chatbots, document intelligence, summarization, search, automation, etc.).
  
• Architect and implement GenAI applications using prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning, and agent-based frameworks , and MCP (Model Context Protocol) for secure tool and data integration.
  
• Evaluate and integrate LLMs (OpenAI, Azure OpenAI, Anthropic, Google, open-source models like LLaMA, Mistral).
  
• Design scalable GenAI architectures including model orchestration, vector databases, embeddings, and APIs.
  
• Guide teams on best practices for prompt design, model evaluation, performance optimization, and cost control.
  
• Collaborate with business stakeholders to translate requirements into GenAI solutions.
  
• Ensure responsible AI practices including data privacy, security, bias mitigation, and governance.
  
• Own performance and value metrics for GenAI platforms, balancing model accuracy, response latency, and operational cost while ensuring alignment with business priorities.
  
• Mentor junior engineers and provide technical leadership in GenAI initiatives.
  
• Stay current with GenAI trends, tools, and frameworks and recommend adoption strategies.
  

Technical Skills(Mandatory):

• 6–8 years of overall experience with 4+ years in AI/ML or GenAI-related roles.
  
• Strong hands-on experience with LLMs and GenAI frameworks (LangChain,Langraph, LlamaIndex, Semantic Kernel, CrewAI, etc.). – Must have
  
• Proficiency in Python with hands-on experience in deep learning frameworks (PyTorch or TensorFlow) and experience building production-grade APIs (FastAPI/Flask).
  
• Solid understanding of RAG pipelines, embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma). – Must have
  
• Experience with prompt engineering, model evaluation, and fine-tuning techniques.
  
• Working knowledge of cloud platforms (Azure/AWS/GCP), preferably Azure OpenAI. – Good to have 
  
• Familiarity with MLOps/LLMOps concepts, CI/CD, monitoring, and observability.
  
• Strong problem-solving, communication, and stakeholder management skills.
  

Preferred Skills(Optional):

• Experience with open-source LLMs and model deployment (Hugging Face, vLLM, Ollama).
  
• Knowledge of NLP fundamentals and classical ML techniques.
  
• Exposure to AI governance, compliance, and enterprise security standards.
  
• Experience leading small teams or GenAI CoE initiatives.
  

Qualifications:

B.Tech in Computer Science, Engineering, Data Science, or related field from a reputed institution.