Generative AI and LLM engineering jobs in Bengaluru

Generative AI engineers build products on top of large language models: assistants, search and question answering over company documents, agents that take actions, and tools that write or summarise content. It is the fastest-growing group of AI roles in Bengaluru, at startups built around AI and at established companies adding it to existing products.

Most of these jobs are software engineering with a new set of building blocks, not model research. The hard parts are getting reliable answers, measuring quality, controlling cost and latency, and keeping data safe.

What the work involves

• Build retrieval-augmented generation (RAG) pipelines over company data.
• Design prompts, tools and agent workflows, and test them systematically.
• Build evaluation sets and measure quality, accuracy and safety before each release.
• Choose between hosted models and open models, and fine-tune when it pays off.
• Control cost and latency with caching, smaller models and batching.

Skills employers look for

• Python or TypeScript
• LLM APIs and open models
• Retrieval and vector databases
• Prompt and context design
• Evaluation methods for LLM output
• Fine-tuning basics
• Backend engineering

How interviews usually run

Interviews mix a regular coding round with questions on how language models work (tokens, context windows, embeddings, why they make things up) and a design round such as building a support assistant over a help centre, covering retrieval, evaluation, guardrails and cost.

Many companies ask for a demo or a take-home where you build a small working application.

How to stand out

• Show a working project with an evaluation: how you measured that answers got better.
• Explain failures you hit and how you fixed them; everyone can make a demo work once.
• Strong general backend skills still decide most hiring calls.