AI Research Engineer (India)

AI Research Engineer (India)

07 Oct
|
CodeRound AI
|
India

07 Oct

CodeRound AI

India

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This role is for one of our client companies — a VC-backed Software Development, AI Infrastructure, Automotive, and Telecommunications startup that has raised $2M 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’re seeking an AI Research Engineer to own model evaluations end-to-end, turning ambiguous capabilities into rigorous, reproducible benchmarks. Working closely with researchers, you will design datasets, analyze model behavior at scale, and directly shape the training lifecycle.

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- Design rigorous benchmarks for reasoning, coding, and agentic capabilities across C/C++, Rust, embedded systems, hardware specifications, and engineering tasks.
- Develop deterministic evaluators using compilers, emulators, simulators, static analysis, formal verification, and hardware-in-the-loop systems.
- Build distributed infrastructure to run evaluations reliably against models and live training checkpoints.
- Diagnose regressions and anomalous results,



separating model failures from issues in prompts, data, evaluators, or infrastructure.
- Design robust metrics, difficulty curricula, contamination-resistant tasks, and experiments around prompting, sampling, and scaffolding.
- Turn evaluation failures into targeted datasets, reward signals, and new training objectives in collaboration with RL researchers.
- Create dashboards, experiment tracking, and evaluation libraries that make model performance easy to understand and trust.

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- Strong Python programming and software engineering fundamentals.
- Experience building benchmarks, evaluation systems, automated graders, research infrastructure, or similar testbeds.
- Strong understanding of LLMs and contemporary evaluation methodologies.
- Strong analytical and experimental thinking; you care deeply about whether a metric actually measures the intended capability.
- Experience debugging complex systems and investigating unexpected experimental results.
- Strong written and verbal communication.

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- Own the development of cutting-edge infrastructure from day one.
- Solve complex engineering challenges that directly shape our product roadmap.
- Accelerate your career alongside elite researchers in a fast-paced environment.
- Work closely with a brilliant, collaborative team of industry pioneers.

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

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