๐๐ฏ๐ผ๐๐ ๐๐ต๐ฒ ๐ท๐ผ๐ฏ This role is for one of our client companies โ a VC-backed Artificial Intelligence startup that has raised $400K USD in funding. ๐ฆ๐ฎ๐น๐ฎ๐ฟ๐: Up to 35LPA Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities. ๐ ๐ช๐ต๐ฎ๐ ๐ช๐ฒ'๐ฟ๐ฒ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด 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. ๐ ๐๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ (3+ ๐ฌ๐ฒ๐ฎ๐ฟ๐ ๐ผ๐ณ ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ) Weโre looking for an AI Engineer to build and own production-grade AI systems, including RAG pipelines, AI agents, production chatbots, and evaluation frameworks. Youโll work with frontier models, vector databases, and LangGraph to improve retrieval quality, agent reliability, and overall AI performance. ๐งฉ ๐ช๐ต๐ฎ๐ ๐ฌ๐ผ๐'๐น๐น ๐๐ผ โข Own the intelligence layer โข Build RAG and retrieval systems that pull in data from multiple sources to make every AI output relevant and grounded in real context โข Build AI agents and workflows โ research agents, enrichment agents, follow-up sequencing agents that operate reliably at scale without human intervention โข Build the evaluation framework that measures output quality before anything reaches real prospects โข Define what "good" means and build the infrastructure to measure it consistently โข Make the AI meaningfully better, measurably, every week โข Make measurable improvements to retrieval quality or agent reliability โข Diagnose the biggest AI quality gaps and create a prioritized plan to close them โ ๐ฌ๐ผ๐'๐ฟ๐ฒ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐ ๐๐ณ ๐ฌ๐ผ๐ โข 3+ years of hands-on experience shipping AI/ML systems in production โ not demos, not prototypes โข Deep experience building and owning RAG pipelines โ retrieval quality, chunking strategy, embedding models, re-ranking โข Experience building chatbots โ one that runs in production โข Experience building evaluation frameworks and measuring whether AI output is good before it reaches users โข Strong, current knowledge of the AI tooling landscape โ models, frameworks, vector DBs, agent libraries โข You have a system, version control, and a way of measuring what works โจ ๐ช๐ต๐ ๐๐ผ๐ถ๐ป ๐จ๐? โข Own meaningful product decisions from day one at a funded startup โข Work with a sharp team shipping fast in a high-growth environment โข Accelerate your career with outsized responsibility and visibility โข Build something that scales โ not slide decks
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