About VARTIS Platforms (Formerly known as LenDenClub Techserve Pvt. Ltd.)
At VARTIS Platforms, we are a corporate group on a mission to democratize credit access and empower millions of people through cutting-edge technology. We focus on building trust and convenience, leveraging AI to drive the information revolution for smarter risk management and operational efficiency. VARTIS Platforms is profitable, rapidly scaling, and industry-recognised. Our impact has been acknowledged with top honours, including being awarded as the Best Fintech Provider by Financial Express, a testament to our product excellence, customer experience, and leadership in regulated financial technology.
Our portfolio includes:
LenDenClub: An RBI-licensed P2P marketplace that connects borrowers with lenders in a seamless digital ecosystem.
InstaMoney: Instant digital loans that enable quick, secure, and accessible financial support.
NiveshGold: India’s next-gen digital vault for wealth preservation, starting with 100% pure, insured 24K digital gold.
UdharSaathi: A structured working capital platform built exclusively for QR active kirana stores, pharmacies, and small retailers.
About the role
We are looking for a GenAI / Agentic AI Engineer to design and build production-grade AI agents and agentic workflows for complex business use cases. The role involves working closely with the AI Product Lead to translate ambiguous business problems into scalable, intelligent agentic systems.
Key responsibilities
- Design and develop LLM-powered agents and multi-agent workflows for complex decision-making and automation.
- Build agentic systems with reasoning, planning, tool calling, memory and context management.
- Integrate LLMs with internal APIs, databases, business systems and external tools.
- Develop evaluation, validation and feedback loops to continuously improve agent quality and reliability.
- Build human-in-the-loop workflows where required for validation and decision-making.
- Own technical implementation from POC to production, including performance, latency, cost, reliability and observability.
- Research and experiment with emerging LLMs, agent frameworks and AI techniques to improve system capabilities.
- Work under the guidance of the AI Product Lead while independently owning assigned technical modules and outcomes.
What we're looking for
- 2–3 years of experience in GenAI, ML, NLP, Conversational AI or related fields.
- Strong hands-on experience with LLMs, prompt engineering, RAG and agentic workflows.
- Strong Python and software engineering fundamentals.
- Experience with frameworks such as LangGraph, LangChain, Google ADK, CrewAI, AutoGen or equivalent.
- Experience with API integration, databases and production-grade AI systems.
- Strong problem-solving skills and ability to work through ambiguous technical problems independently.
- Ability to rapidly prototype, evaluate and productionize AI solutions.
Good to have
- Experience with multi-agent systems, AI evaluation
- Experience with LLM observability and monitoring tools.
- Exposure to cloud platforms such as AWS and containerized deployments.
- BFSI / lending / collections domain experience.
