Senior AI Engineer role focusing on LLMs and GenAI at a fast-growing AI startup in Bangalore.

About the Company

Analyttica is a mission-driven AI startup on a mission to create an AI-powered data + decision ecosystem that helps businesses make data usable in everyday workflows. The company is expanding its small but mighty team and operates in a fast-moving space, solving challenging problems at the intersection of data and AI. The team values ownership, continuous learning, collaboration, and integrity.

Role Overview

We are looking for a Senior AI Engineer to join our Engineering team in Bangalore. This is a full-time, in-person/hybrid role where you will research the latest LLMs, GenAI tools, and AI infrastructure to drive product opportunities. You will build and refine LLM-powered proofs-of-concept (POCs) for analytics use cases, evaluate approaches across prompting, RAG, fine-tuning, and model choice, and improve performance across latency, accuracy, cost, reliability, and UX. You will also mentor junior team members on LLM systems and AI experimentation.

Key Responsibilities

• Research the latest LLMs, GenAI tools, and AI infrastructure for relevant product opportunities.
• Build and refine LLM-powered POCs for analytics use cases.
• Evaluate the right approach across prompting, RAG, fine-tuning, and model choice.
• Improve performance across latency, accuracy, cost, reliability, and UX.
• Run experiments across data prep, retrieval, prompts, guardrails, and evaluation.
• Turn strong POCs into scalable designs for production.
• Mentor junior team members on LLM systems and AI experimentation.

Tech Stack

• Python
• Machine Learning and NLP libraries
• LLM frameworks: LangChain, LangGraph
• Vector databases and retrieval systems
• Embeddings, RAG, fine-tuning pipelines
• AI infrastructure and evaluation tools

• At least 1 year focused on Generative AI and LLM systems: Strong experience with prompt engineering, embeddings, RAG, fine-tuning, LLM evaluation, and optimizing for latency, inference performance, and production trade-offs.
• 4+ years of experience in engineering/data science, or a PhD in a relevant field.
• Proficiency in Python.
• Good grounding in machine learning and NLP.
• Experience with vector databases, retrieval systems, and LLM orchestration frameworks such as LangChain/LangGraph.

• Ownership and initiative: Freedom to spot opportunities, set priorities, and drive projects end-to-end.
• Staying ahead: Work with latest LLMs, GenAI tools, and AI infrastructure; explore, prototype, and learn quickly.
• Teamwork and working smart: Small, collaborative team with clear priorities and high-leverage effort.
• Honesty and integrity: Transparent communication and trust-based culture.
• Hybrid work model in Bangalore.
• Opportunity to mentor junior team members and grow within a fast-moving AI startup.