AI Engineer (Upto 30 LPA)

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯
This role is for one of our client companies — a VC-backed Artificial Intelligence startup that has raised $400K USD in funding.
𝗦𝗮𝗹𝗮𝗿𝘆: Up to 35LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴
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.
🚀 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (3+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)
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.
🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼
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
✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂
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
Strong, current knowledge of the AI tooling landscape — models, frameworks, vector DBs, agent libraries
You have a system, version control, and a way of measuring what works
✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?
Own meaningful product decisions from day one at a funded startup
Work with a sharp team shipping fast in a high-growth environment
Accelerate your career with outsized responsibility and visibility
Build something that scales — not slide decks

Work arrangement
Yes