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This role is for one of our client companies — a VC-backed Artificial Intelligence startup that has raised $400K USD in funding.
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Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.

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CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.

Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.

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We’re looking for an AI Engineer to build and own production-grade AI systems, including RAG pipelines, AI agents, production chatbots, and evaluation frameworks. You’ll work with frontier models, vector databases, and LangGraph to improve retrieval quality, agent reliability, and overall AI performance.

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Own the intelligence layer
Build RAG and retrieval systems that pull in data from multiple sources to make every AI output relevant and grounded in real context
Build AI agents and workflows — research agents,



enrichment agents, follow-up sequencing agents that operate reliably at scale without human intervention
Build the evaluation framework that measures output quality before anything reaches real prospects
Define what "good" means and build the infrastructure to measure it consistently
Make the AI meaningfully better, measurably, every week
Make measurable improvements to retrieval quality or agent reliability
Diagnose the biggest AI quality gaps and create a prioritized plan to close them

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3+ years of hands-on experience shipping AI/ML systems in production — not demos, not prototypes
Deep experience building and owning RAG pipelines — retrieval quality, chunking strategy, embedding models, re-ranking
Experience building chatbots — one that runs in production
Experience building evaluation frameworks and measuring whether AI output is good before it reaches users
Solid,

📌 AI Engineer (India)
🏢 CodeRound AI
📍 India