Job description

We are seeking a versatile Senior AI/ML Full\-Stack Developer to lead the design, development, and integration of Generative AI solutions. This role is ideal for a developer who bridges the gap between robust backend engineering and cutting\-edge AI implementation. You will be responsible for taking concepts from initial PoCs to production\-ready, scalable RAG (Retrieval\-Augmented Generation) applications. **Key Responsibilities** * **End\-to\-End AI Engineering**: Architect and build full\-stack applications that leverage Large Language Models (LLMs) to solve complex business problems. * **RAG Architecture**: Design and optimize Retrieval\-Augmented Generation pipelines, ensuring high\-quality context retrieval through advanced embedding techniques and vector databases. * **Rapid Prototyping**: Drive the innovation cycle by building high\-fidelity Proof of Concepts (PoCs) for new AI\-powered features. * **API \& Backend Systems**: Develop high\-performance APIs and microservices (using Python/FastAPI or Node.js) to manage AI inference workflows and data processing. * **LLM Orchestration**: Integrate and fine\-tune interactions with various LLM providers (OpenAI, Anthropic, or Open Source via HuggingFace) using orchestration frameworks. **Technical Requirements** * **AI \& LLM Specialization** * **Frameworks**: Proficiency in LangChain, LlamaIndex, or Haystack. * **Vector Databases**: Hands\-on experience with Pinecone, Milvus, Weaviate, or ChromaDB. * **Models**: Deep understanding of prompting, context window management, and model selection across OpenAI, Claude, and Llama 3\. * **Concepts**: Solid grasp of semantic search, tokenization, and embedding models. **Full\-Stack Engineering** * **Backend**: 3\+ years of experience in Python (FastAPI/Flask) or Node.js. Knowledge of .NET is a strong plus. * **Frontend**: Expertise in React.js or Next.js for building responsive, AI\-driven user interfaces. * **Cloud \& DevOps**: Familiarity with Docker and deployment on cloud platforms (AWS, Azure, or GCP). * **Databases**: Experience with both SQL (PostgreSQL) and NoSQL environments. **Preferred Qualifications** * Proven track record of building and deploying AI side projects or commercial PoCs. * Experience with Agentic Workflows (e.g., CrewAI or AutoGen). * Strong understanding of AI evaluation metrics and monitoring. Job Type: Full\-time Pay: ₹400,000\.00 \- ₹1,000,000\.00 per year Benefits: * Health insurance * Provident Fund Work Location: In person