We're looking for a Generative AI Full Stack Developer to design, build, and deploy AI-powered applications for enterprise clients. You'll work across the stack from LLM orchestration and RAG pipelines to production-grade frontend and backend systems as part of client delivery teams solving real business problems with GenAI.

Key Responsibilities
- Design and develop end-to-end GenAI applications, including RAG pipelines, agentic workflows, and LLM-powered features
- Build and maintain full-stack applications (frontend + backend + APIs) that integrate with LLM providers and internal enterprise systems
- Implement prompt engineering, fine-tuning, and evaluation frameworks to optimize model performance and output quality
- Architect and manage vector databases and embedding pipelines for semantic search and retrieval
- Integrate GenAI solutions with cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI)
- Collaborate with data engineers, solution architects, and business stakeholders to translate requirements into scalable technical solutions




- Ensure responsible AI practices data privacy, bias mitigation, hallucination control, and guardrails
- Write clean, tested, maintainable code and contribute to CI/CD pipelines
- Support client workshops, POCs, and technical presentations as needed

Required Skills & Experience
- 3–6 years of skilled software development experience, with 1–2+ years hands-on with Generative AI / LLM technologies
- Strong proficiency in Python (FastAPI/Flask/Django) and JavaScript/TypeScript (React, Next.js, Node.js)
- Hands-on experience with LLM frameworks: LangChain, LlamaIndex, Semantic Kernel, or similar
- Experience building RAG (Retrieval-Augmented Generation) systems and working with vector databases (Pinecone, Weaviate, FAISS, Azure AI Search, ChromaDB)
- Familiarity with LLM APIs (OpenAI, Azure OpenAI, Anthropic Claude, AWS Bedrock, Google Gemini)
- Experience with prompt engineering, fine-tuning, and model evaluation techniques

📌 Urgent Hiring (Mumbai)
🏢 PwC India
📍 Mumbai