????? ??? ??? This role is for one of our client companies — a VC-backed AI native B2B saas startup that has raised $5.5M 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 Applied AI Engineer to design and scale production-grade RAG pipelines and intelligent agentic workflows. In this role, you will take advanced AI solutions from experimentation to production to solve complex enterprise problems. ? ???? ???'?? ??
• Design, build, and own end-to-end RAG pipelines, covering document ingestion, preprocessing, chunking, embeddings, retrieval, reranking, and response generation.
• Develop and optimize retrieval architectures to improve relevance, factual accuracy, contextual understanding, and the quality of generated responses.
• Build robust evaluation frameworks by defining quality metrics, creating evaluation datasets, developing automated eval harnesses, and tracking system performance over time.
• Design and implement agentic workflows involving multi-step reasoning, tool use, orchestration, model selection, and context management.
• Continuously evaluate and improve LLM outputs through experimentation, error analysis, prompt optimization, retrieval tuning, and systematic benchmarking.
• Optimize AI pipelines for production requirements,



balancing response quality, latency, scalability, reliability, and computational costs.
• Collaborate with backend engineers to integrate and serve NLP outputs through reliable, scalable APIs that meet production performance requirements.
• Work with enterprise data from multiple sources, transforming unstructured and heterogeneous information into accurate, contextual intelligence for downstream workflows. ✅ ???'?? ? ????? ??? ?? ???
• 3–6 years of experience in production NLP, Machine Learning, or Applied AI, with a track record of shipping models or pipelines used by real users.
• Hands-on experience designing, building, and optimizing production-grade Retrieval-Augmented Generation (RAG) pipelines, including retrieval architecture, chunking, reranking, and prompt design.
• Strong understanding of LLMs, NLP, semantic search, embeddings, context management, and retrieval-based systems.
• Experience defining quality metrics, building evaluation frameworks, developing evaluation harnesses, and systematically measuring LLM output quality.
• Robust Python engineering skills, including writing clean, maintainable, tested, production-grade code beyond experimentation in notebooks.
• Practical experience integrating LLMs such as OpenAI GPT models or Anthropic Claude into production applications. ✨ ??? ???? ???
• Own your projects and build high-impact AI systems from scratch.
• Deploy scalable B2B solutions directly to global enterprise clients daily.
• Scale your career rapidly alongside elite engineers in a funded startup.
• Work in person with an ambitious team in our Mumbai hub.

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