????? ??? ??? This role is for one of our client companies — a VC-backed Artificial Intelligence, Enterprise Software, Integration Platform (iPaaS), SaaS startup that has raised $6.4M USD in funding. 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. ? ?????? ?? ???????? (??? ?????) (5+ ????? ?? ??????????) We’re looking for a Senior AI Engineer to architect, build, and scale production-grade AI agents and robust RAG pipelines that solve complex enterprise challenges. If you want to own end-to-end agentic workflows and drive AI engineering best practices, we’d love to connect. ? ???? ???'?? ??
• Architect and develop complex, multi-agent systems using LangGraph, LangChain, or equivalent frameworks to automate enterprise workflows and execute long-running, asynchronous tasks.
• Own the end-to-end lifecycle of AI agents, from system architecture and prompt engineering to deployment, monitoring, evaluation, and continuous improvement.
• Design and implement automated evaluation pipelines to measure agent accuracy, hallucination rates, task completion, and reliability before and after production deployment.
• Build, optimize, and scale RAG pipelines by improving chunking strategies, retrieval algorithms, embedding quality, reranking, and vector search performance.
• Optimize inference costs and latency by selecting appropriate models, improving orchestration strategies, and balancing performance with operational efficiency.




• Collaborate with product and engineering teams to translate ambiguous enterprise requirements into concrete agent behaviors, tool definitions, execution plans, and reliable workflows.
• Integrate AI agents with enterprise systems, databases, APIs, and existing infrastructure to enable intelligent automation and end-to-end task execution.
• Establish LLMOps best practices for tracing, monitoring, debugging, versioning, and evaluating AI systems in production. ✅ ???'?? ? ????? ??? ?? ???
• 5+ years of overall software engineering experience, with significant recent experience in Applied AI, Generative AI, or LLM-based systems.
• Expert-level Python programming skills, with the ability to write clean, modular, testable, and production-quality code.
• Strong hands-on experience building and deploying production-grade LLM applications using orchestration frameworks such as LangChain, LangGraph, or equivalent technologies.
• Experience designing complex agentic workflows involving multi-agent orchestration, tool calling, state management, asynchronous execution, and long-running tasks.
• Strong understanding of Retrieval-Augmented Generation (RAG), including document chunking, embedding generation, retrieval strategies, reranking, and vector search optimization.
• Proven experience designing automated LLM evaluation frameworks to measure output accuracy, hallucinations, task completion rates, and overall system reliability. ✨ ??? ???? ???
• You will own and architect critical AI systems from day one.
• Your work directly drives our product roadmap and enterprise customer success.
• We are a quick-growing, highly funded startup with massive career upside.
• Collaborate daily with an elite, elite-tier team of passionate builders.

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