Live opening · Posted 8 hours ago

Senior AI Engineer (Agentic Systems)

CodeRound AI · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 8 hours ago
CompanyCodeRound AI
LocationIndia (Remote)
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 8 hours ago

About the role

Description supplied by the original job listing.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯
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.
𝗦𝗮𝗹𝗮𝗿𝘆: Up to 100LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴
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.
🚀 𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (3+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)
We are seeking a Senior AI Engineer to design scalable backend systems and integrate production-ready LLM pipelines using Python, LangChain, and LangGraph. If you thrive at the intersection of backend engineering and applied AI in a fast-paced environment, we want to hear from you.
🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼
Architect and develop backend services in Python, integrating AI pipelines into production systems.
Build and optimize LLM applications using LangChain, LangGraph, and related libraries.
Design APIs to expose AI features to frontend and mobile applications.
Work with vector databases, embeddings, and retrieval pipelines for RAG systems.
Ensure scalability, performance, and reliability of AI-driven backend services.
Collaborate with product, AI/ML, and frontend teams for end-to-end delivery.
Stay ahead of the latest developments in LLM orchestration frameworks and apply them effectively.
✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂
3+ years of experience in AI / Backend Engineering
Mandatory agentic experience preferred
Strong proficiency in Python
Experience building scalable backend services and APIs
Hands-on experience with LLM applications in production
Strong knowledge of LangChain, LangGraph, or similar LLM orchestration frameworks
Experience with RAG systems, embeddings, and retrieval pipelines
✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?
Own the core AI architecture and build critical systems from scratch.
Deploy enterprise solutions that instantly impact global scale integration workflows.
Accelerate your career trajectory alongside top tier engineering talent.
Thrive in a high ownership seed stage culture with massive equity.

Work arrangement
Yes

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