Posted 08 June, 2026
Gen AI Technical Lead
Awign
New Delhi, DL, IN
Full Time
Reference: 0f6e95ecf8190c6a
Job Description
Job Title: Gen AI Technical Lead (Databricks Exposure Mandatory)\nExperience: 6+ Years\nLocation: Okhla, Delhi (Work from Office – 5 days week)\nContract Duration: 6 Months\n\nEngagement Type : Contrac\ntRole Overvie\nwWe are seeking a highly skilled GenAI Technical Lea d with strong experience in production-grade Generative AI implementation s. The ideal candidate should have hands-on experience building enterprise-level GenAI solutions (not just POCs or personal projects ) and must be capable of leading end-to-end GenAI POC development from scratc h\n.Key Responsibilitie\nsDesign and develop end-to-end Generative AI solution s for enterprise use case\nsBuild and implement RAG (Retrieval-Augmented Generation) pipeline\nsLead POC development from scratc h, including architecture, development, and deploymen\ntImplement and optimize prompt engineering strategie\nsDevelop and manage LLM workflows and agent-based system\nsBuild scalable backend APIs using FastAPI/Flas\nkIntegrate GenAI solutions with enterprise platforms and data system\nsDeploy and manage applications on Azure (Web Apps / Function Apps / Virtual Machines\n)Work on Databricks for data pipelines and model workflow\nsCollaborate with business and technical stakeholders for solution deliver\nyMust-Have Skills (Critical Requirements\n)Hands-on experience with production-level GenAI project s (Mandatory\n)Strong experience in\n:RAG architecture\nsPrompt Engineerin\ngLLM workflows / orchestratio\nnExpertise in Python and backend developmen\ntExperience with FastAPI / Flask (or similar API frameworks\n)Ability to build end-to-end GenAI solutions from scratc\nhAzure & Databricks Requirement\nsAzure Experienc\neAzure OpenA\nIWeb Apps / Function Apps / VM deployment\nsDatabricks Exposur\neData pipelines / model workflow\nsPreferred Skill\nsExperience with LangChain, LlamaIndex, or Agentic AI framework\nsKnowledge of vector databases (Pinecone, FAISS, Azure AI Search\n)Exposure to MLOps, CI/CD pipelines, and cloud deployment\nsExperience in enterprise AI use cases across domain\nsSoft Skill\nsStrong leadership and ownership mindse\ntExcellent problem-solving and analytical skill\nsEffective communication with stakeholder\nsAbility to work in a fast-paced, delivery-driven environmen\ntKey Expectation\nsDeliver production-ready GenAI solution\nsBuild scalable POCs from scratch with minimal supervisio\nnEnsure high performance, accuracy, and reliability of AI system\nsTake technical ownership and guide junior team member\nsIdeal Candidate Profil\neProven experience in deploying GenAI solutions in real business environment\nsStrong mix of AI expertise + backend engineering + cloud deploymen\ntAbility to lead and execute high-impact GenAI initiatives independentl\n\ny