We are looking for an experienced AI Engineer with strong expertise in Generative AI, Machine Learning, LLMs, and RAG (Retrieval-Augmented Generation) to build and scale enterprise-grade AI products.

Key Responsibilities :

- Design, develop, and deploy AI/GenAI solutions for production environments.

- Build scalable RAG pipelines using vector databases and knowledge retrieval frameworks.

- Develop and optimize LLM-powered applications, AI agents, and intelligent workflows.

- Work closely with Product, Engineering, and Architecture teams to integrate AI capabilities into products.

- Drive model performance, scalability, monitoring, and governance.

Required Skills :

- 6 - 10 years of experience in AI/ML development.

- Strong expertise in Machine Learning, Deep Learning, NLP, and Generative AI.

- Hands-on experience with LLMs (GPT, Llama, Claude, Gemini, etc.).

- Experience with RAG, embeddings, semantic search, and vector databases such as Pinecone, FAISS, Milvus, Weaviate, or ChromaDB.

- Proficiency in Python, LangChain, LlamaIndex, Hugging Face, PyTorch/TensorFlow.

- Experience with cloud platforms such as Azure, AWS, or GCP.

Must-Have :

- Proven experience in building and deploying AI-powered products/platforms in production environments.

- Strong product engineering mindset with end-to-end ownership of AI features and solutions.

- Candidates with experience limited to chatbots, AI assistants, or prompt engineering projects without substantial product development exposure will not be considered.

Preferred :

- Experience with Agentic AI, Multi-Agent Systems, MLOps, and model fine-tuning.

- Exposure to AI governance, observability, and responsible AI practices.