Job Title AI ML Engineer - FastAPI FAISS Vector Databases Location Gurgaon In office Job Type Full-Time Job Overview We re hiring an AI ML Engineer who can build scalable and intelligent systems using FastAPI FAISS and vector search technologies If you re passionate about retrieval-augmented generation RAG semantic search and deploying real-world ML pipelines we d love to meet you Key Responsibilities Build optimize and maintain scalable ML APIs using FastAPI Implement and manage vector-based search systems using FAISS Pinecone or similar tools Create and serve embeddings using transformer models for semantic search recommendations or chatbot systems Design and deploy RAG retrieval-augmented generation pipelines using LLMs Work with large unstructured datasets text documents etc to extract features and build indexes Collaborate with data scientists and backend engineers to integrate models into production Monitor and improve model performance and API latency in production environments Required Skills Strong experience with Python and FastAPI Hands-on with FAISS and vector similarity search concepts Familiarity with sentence-transformers Hugging Face or OpenAI embeddings Working knowledge of vector databases like FAISS Weaviate Pinecone or Qdrant Experience with NLP pipelines tokenization and text preprocessing Comfortable with RESTful APIs JSON and basic cloud deployment e g AWS GCP Bonus Good to Have Experience with LangChain LLMs or RAG architecture MLOps practices for model serving and monitoring Exposure to Docker Kubernetes Airflow or CI CD pipelines Prior experience deploying LLM-based search or Q A systems Ideal Candidate Profile 2-4 years of experience in AI ML engineering or backend roles with ML focus Comfortable building APIs that connect machine learning models to real users Familiar with working in fast-paced agile environments Curious about LLMs embeddings and real-time AI applications Job Type Full-time Pay 1 200 000 00 - 1 500 000 00 per year Work Location In person Application Deadline 25 07 2025 Expected Start Date 01 08 2025