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This role is for one of our client companies — a VC-backed Technology, Information and Internet startup that has raised $5M 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 are looking for an ML Research Engineer to build advanced, source-grounded AI systems that reason over complex documents. Join us to bridge the gap between cutting-edge research and production-grade agentic workflows.

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• Research, prototype, and deploy AI systems for document understanding, knowledge extraction, and reasoning
• Build AI agents for summarization, extraction, validation, verification, and content generation
• Design, implement,



and optimize retrieval systems and production-grade RAG pipelines
• Develop source-grounded and citation-aware AI workflows
• Build orchestration systems for complex multi-step agentic reasoning tasks
• Evaluate emerging research and translate promising techniques into production systems
• Develop APIs and internal AI services using Python and modern backend frameworks
• Design evaluation frameworks to measure accuracy, grounding, reliability, and system performance

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• 3-8 years of experience in Machine Learning, NLP, Information Retrieval, Applied AI, or related fields
• Solid Python programming and software engineering fundamentals
• Authored, co-authored, or significantly contributed to research papers, research projects, or open-source work in AI/ML
• Hands-on experience building production-grade LLM applications
• Strong experience with RAG, embeddings, retrieval systems, and evaluation methodologies
• Experience with

📌 ML Research Engineer (India)
🏢 CodeRound AI
📍 India