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Gen AI Technical Lead

Job in 110006, Delhi, Delhi, India
Listing for: Awign
Full Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Science Manager, Data Engineer
Job Description & How to Apply Below
Job Title:

Gen AI Technical Lead (Databricks Exposure Mandatory)

Experience:

6+ Years

Location:

Okhla, Delhi (Work from Office – 5 days week)
Contract Duration:  6 Months

Engagement Type :
Contrac
tRole Overvie
wWe 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
.Key Responsibilitie
sDesign and develop  end-to-end Generative AI solution s for enterprise use case
sBuild and implement  RAG (Retrieval-Augmented Generation) pipeline
sLead  POC development from scratc h, including architecture, development, and deploymen
tImplement and optimize  prompt engineering strategie
sDevelop and manage  LLM workflows and agent-based system
sBuild scalable  backend APIs using FastAPI/Flas
kIntegrate GenAI solutions with  enterprise platforms and data system
sDeploy and manage applications on  Azure (Web Apps / Function Apps / Virtual Machines
)Work on  Databricks for data pipelines and model workflow
sCollaborate with business and technical stakeholders for solution deliver
yMust-Have Skills (Critical Requirements
)Hands-on experience with production-level GenAI project s (Mandatory
)Strong experience in
:

RAG architecture
sPrompt Engineerin
gLLM workflows / orchestratio
nExpertise in  Python and backend develop men
tExperience with  FastAPI / Flask (or similar API frameworks
)Ability to build  end-to-end GenAI solutions from scratc
hAzure & Databricks Requirement
sAzure Experienc
eAzure OpenA
IWeb Apps / Function Apps / VM deployment
sDatabricks Exposur
eData pipelines / model workflow
sPreferred Skill
sExperience with  Lang Chain, Llama Index, or Agentic AI framework
sKnowledge of  vector databases (Pinecone, FAISS, Azure AI Search
)Exposure to  MLOps, CI/CD pipelines, and cloud deployment
sExperience in  enterprise AI use cases across domain
sSoft Skill
sStrong leadership and ownership mindse
tExcellent problem-solving and analytical skill
sEffective communication with stakeholder
sAbility to work in a fast-paced, delivery-driven environmen
tKey Expectation
sDeliver  production-ready GenAI solution
sBuild  scalable POCs from scratch with minimal supervisio
nEnsure  high performance, accuracy, and reliability of AI system
sTake  technical ownership and guide junior team member
sIdeal Candidate Profil
eProven experience in  deploying GenAI solutions in real business environment
sStrong mix of  AI expertise + backend engineering + cloud deploymen
tAbility to  lead and execute high-impact GenAI initiatives independentl

y
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