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AI & Conversational Systems Engineer

Location

Noida (Delhi)

JobType

In-person

About the job

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About the role

Key Technologies: LLMs, RAG architectures, Vector Databases Build out Retrieval-Augmented Generation (RAG) pipelines for our conversational AI assistant. Integrate vector databases and embedding stores to power AI-driven search and recommendations. Develop knowledge retrieval and indexing systems to ground LLM responses in accurate, business-specific data. Prototype and deploy AI assistants that help users chat with their data. Collaborate with the CTO to bring AI-native thinking into core product features. Explore and implement AI-driven automation for actionable insights.

About the company

At Pesto, we're building the AI-native platform powering food and drink manufacturers to grow sustainably and stay resilient - because the future of food matters. Food and drink is the UK's largest manufacturing sector - vital, complex, and under immense pressure. Fragmented data, volatile supply chains, and squeezed margins are making it harder than ever for brands and manufacturers to survive, let alone thrive. We're here to change that. Our AI-native platform gives manufacturers the tools they need to run smarter, faster, and more sustainably - from margin insights to automation to decision-ready data. But solving hard problems doesn't mean acting like machines. We're human-first: we check in with each other, celebrate progress (and birthdays), share food recs, and make space for the life stuff. You'll find snacks in the office, socials in the diary, and real collaboration in every conversation. If you're excited by purpose, pace, and the idea of making the food system more fair and future-proof - come build with us.

Skills

llms
rag architectures
vector databases