AI Engineer (Up to 35LPA)
CodeRound AI ยท Delhi, India
ูุฏูู ูุชุงุจุน ู ุน ุฃุจูุงู ุฅูุฏุฌ๐๐ฏ๐ผ๐๐ ๐๐ต๐ฒ ๐ท๐ผ๐ฏThis 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 35LPAApply once and, if selected, get access to up to 20 remote and onsite interview opportunities.๐ ๐ช๐ต๐ฎ๐ ๐ช๐ฒ'๐ฟ๐ฒ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ดCodeRound 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 ๐๐ผOwn the intelligence layerBuild RAG and retrieval systems that pull in data from multiple sources to make every AI output relevant and grounded in real contextBuild AI agents and workflows โ research agents, enrichment agents, follow-up sequencing agents that operate reliably at scale without human interventionBuild the evaluation framework that measures output quality before anything reaches real prospectsDefine what "good" means and build the infrastructure to measure it consistentlyMake the AI meaningfully better, measurably, every weekMake measurable improvements to retrieval quality or agent reliabilityDiagnose the biggest AI quality gaps and create a prioritized plan to close themโ
๐ฌ๐ผ๐'๐ฟ๐ฒ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐ ๐๐ณ ๐ฌ๐ผ๐3+ years of hands-on experience shipping AI/ML systems in production โ not demos, not prototypesDeep experience building and owning RAG pipelines โ retrieval quality, chunking strategy, embedding models, re-rankingExperience building chatbots โ one that runs in productionExperience building evaluation frameworks and measuring whether AI output is good before it reaches usersStrong, current knowledge of the AI tooling landscape โ models, frameworks, vector DBs, agent librariesYou have a system, version control, and a way of measuring what worksโจ ๐ช๐ต๐ ๐๐ผ๐ถ๐ป ๐จ๐?Own meaningful product decisions from day one at a funded startupWork with a sharp team shipping fast in a high-growth environmentAccelerate your career with outsized responsibility and visibilityBuild something that scales โ not slide decks