AI Engineer (RAG-based Chatbot)

We are looking for an experienced AI / LLM Engineer to design, build, and maintain intelligent applications powered by Large Language Models (LLMs), embeddings, similarity search, and vector databases . The ideal candidate will work on building real-time AI systems such as chatbots, semantic search, recommendation systems, document intelligence, and autonomous AI workflows.

You will be responsible for the end-to-end lifecycle of AI pipelines that include data ingestion, embedding generation, vector storage, retrieval, and LLM-based response generation or automated actions.

Experience : 5–7 Years

Location : Bangalore

Employment Type : Full-Time

Key Responsibilities

• Design and implement embedding pipelines for text, documents, images, or structured data.
• Build and optimize semantic search and similarity search systems using vector databases.
• Integrate and manage vector databases such as :
• Pinecone, Weaviate, Milvus, FAISS, Chroma, OpenSearch Vector Engine, etc.
• Develop LLM-powered applications for :
• Chatbots
• Q&A systems
• Recommendation engines
• AI agents and automation workflows
• Implement RAG (Retrieval Augmented Generation) pipelines.
• Fine-tune prompt strategies and system prompts for optimal LLM performance.
• Integrate LLMs such as :
• OpenAI, Azure OpenAI, Anthropic, Google Gemini, Meta LLaMA, Mistral, etc.
• Build APIs and microservices for AI features using :
• Python / Java / Node.js / Spring Boot / FastAPI
• Implement similarity scoring, ranking, filtering, and metadata-based retrieval .
• Monitor, optimize, and scale vector search performance.
• Handle LLM cost optimization, latency reduction, and caching strategies .
• Implement AI safety, hallucination reduction, and response validation mechanisms .
• Work closely with product, frontend, and data teams.
• Deploy AI workloads on cloud platforms (AWS, Azure, GCP, OCI) .
• Maintain CI / CD pipelines for AI services.

Required Skills & Qualifications

Mandatory Core AI & LLM Skills

Programming & Backend

Data & Storage

Cloud & DevOps (Good to Have)

Good to Have (Preferred Skills)

Use Cases You Will Work On