We are looking for highly skilled Engineering Graduate as AI/Senior 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 to 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