Lead AI Engineer

Sr AI (5-8) /Lead (8-12) role

Experience: 5+ years

Work Location: work from office from Vadodara, Ahmedabad, Bangalore, OR Hyderabad

Job Description:

We are looking for highly skilled Engineering Graduate as Lead AI / Generative AI to drive the end-to-end development and delivery of advanced AI solutions. The role involves designing scalable GenAI architecture, working with cross-functional teams, and building production-grade AI systems using modern open-source frameworks.

The ideal candidate will have strong expertise in LLMs, RAG pipelines, AI agents, and API-driven architecture, along with proven leadership experience in delivering AI projects from concept to production. He/she should drive end-to-end project delivery, build production-grade systems using LLMs, RAG pipelines, and AI agents, and mentor teams while aligning solutions with business needs.

Technical Qualifications (Essential)

• Strong Python programming
• Experience with FastAPI based API development
• Knowledge of NLP frameworks & techniques
• Hands-on with Vector Databases (Milvus/FAISS/Pinecone/Weaviate)
• Expertise in LLMs, RAG, embeddings
• Familiarity with Docker, Kubernetes
• Basic understanding of cloud platforms - AWS / Azure / GCP

Primary Skills

• Generative AI: RAG pipelines, embeddings, semantic search, LLM inference, fine-tuning.
• Prompt Engineering: Context design, optimization techniques, advanced prompt engg techniques
• AI Agentic Frameworks: LangChain, LangGraph, LangSmith
• API Development: Scalable, AI-integrated services

Secondary Skills

• Cloud deployment
• MLOps / LLMOps practices
• Performance & cost optimization
• Data engineering fundamentals
• Good to have - Statistical techniques such as Logistic Regression Multivariate Regression, Stochastic Processes, Decision Trees, common clustering algorithms, Optimization etc.,

Experience

• 5–7 years in AI/ML/GenAI
• Delivered 3+ end-to-end AI/Gen AI projects
• Built 5+ Agents/agent-based applications
• Experience in creating AI/Gen AI project’s SoW, solution approach, estimation, and token management & costing

Functional & Technical Responsibilities

• Design & develop AI/GenAI solutions (RAG, agents)
• Develop & optimize prompts and LLM workflows
• Build scalable APIs and backend systems
• Lead end-to-end project delivery to production
• Create solution proposals, SoW, architecture
• Awareness of deployments (Docker/K8s)
• Mentor teams & drive best practices
• Translating business problems into AI solutions