ML Research Engineer (Up to 50LPA)

This role is for one of our client companies a VC-backed Technology, Information and Internet startup that has raised $5M USD in funding. : Up to 50LPA Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities. ' 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. (3+ ) 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. ' Research, prototype, and deploy AI systems for document understanding, knowledge extraction, and reasoningBuild AI agents for summarization, extraction, validation, verification, and content generationDesign, implement, and optimize retrieval systems and production-grade RAG pipelinesDevelop source-grounded and citation-aware AI workflowsBuild orchestration systems for complex multi-step agentic reasoning tasksEvaluate emerging research and translate promising techniques into production systemsDevelop APIs and internal AI services using Python and modern backend frameworksDesign evaluation frameworks to measure accuracy, grounding, reliability, and system performance ' 3-8 years of experience in Machine Learning, NLP, Information Retrieval, Applied AI, or related fieldsStrong Python programming and software engineering fundamentalsAuthored, co-authored, or significantly contributed to research papers, research projects, or open-source work in AI/MLHands-on experience building production-grade LLM applicationsStrong experience with RAG, embeddings, retrieval systems, and evaluation methodologiesExperience with agentic workflows and orchestration frameworks such as LangGraph, LangChain, or similar Own your projects from day one and shape the product vision.Make meaningful contributions that directly influence our core research roadmap.Accelerate your career through hands-on challenges in a fast-paced environment.Collaborate with elite peers who push the boundaries of current innovation. This role is for one of our client companies a VC-backed Technology, Information and Internet startup that has raised $5M USD in funding. : Up to 50LPA Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities. ' 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. (3+ ) 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. ' Research, prototype, and deploy AI systems for document understanding, knowledge extraction, and reasoningBuild AI agents for summarization, extraction, validation, verification, and content generationDesign, implement, and optimize retrieval systems and production-grade RAG pipelinesDevelop source-grounded and citation-aware AI workflowsBuild orchestration systems for complex multi-step agentic reasoning tasksEvaluate emerging research and translate promising techniques into production systemsDevelop APIs and internal AI services using Python and modern backend frameworksDesign evaluation frameworks to measure accuracy, grounding, reliability, and system performance ' 3-8 years of experience in Machine Learning, NLP, Information Retrieval, Applied AI, or related fieldsStrong Python programming and software engineering fundamentalsAuthored, co-authored, or significantly contributed to research papers, research projects, or open-source work in AI/MLHands-on experience building production-grade LLM applicationsStrong experience with RAG, embeddings, retrieval systems, and evaluation methodologiesExperience with agentic workflows and orchestration frameworks such as LangGraph, LangChain, or similar Own your projects from day one and shape the product vision.Make meaningful contributions that directly influence our core research roadmap.Accelerate your career through hands-on challenges in a fast-paced environment.Collaborate with elite peers who push the boundaries of current innovation.