09 Sep
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LeadSquared
|
Vasanth Nagar
09 Sep
LeadSquared
Vasanth Nagar
About UsWe're building the next generation of AI-powered business software. With Lumen , we're reimagining how users interact with CRM through an intelligent interface where they can simply ask AI to take actions, retrieve knowledge, and get work done. With Agent Studio , we're enabling businesses to build and deploy their own AI agents for real-world workflows. And with Invorto , we're bringing AI to voice, powering intelligent voice agents for customer and operational use cases.This is a chance to work on hard problems across LLMs, agents, orchestration, and reliability, building zero-to-one, owning your area end-to-end, and shipping to production at scale.Note: This is a customer-facing role, and solid communication skills are essential.About the RoleWe're looking for an AI Architect to help design and scale the multi-agent platform that powers Lumen, Agent Studio, and Invorto. This role sits at the intersection of deep technical architecture and real-world production systems, you'll be responsible for the design decisions that determine how reliably, efficiently, and securely our agentic AI systems operate at scale.What You'll DoArchitect and design multi-agent platforms and systems that operate reliably at production scaleDefine the technical approach for retrieval-augmented generation (RAG), vector search, and knowledge grounding across our AI productsSet architectural standards for LLM orchestration, agent-to-agent communication, tool use, memory,
and reasoning pipelinesEvaluate and select the right vector databases, retrieval strategies, and model choices for different product needsPartner closely with engineering teams to translate architecture into production-grade, scalable implementationsDrive decisions on system reliability, latency, cost, and security for AI-driven workflows used by enterprise customersWork directly with customers and internal stakeholders to understand requirements and ensure the architecture supports real-world business use casesStay hands-on — prototyping, reviewing code and designs, and solving hard technical problems alongside the teamKeep the architecture current with the fast-evolving LLM and agentic AI landscapeWhat We're Looking For5–8 years of experience in software/AI engineering, with demonstrated experience designing and architecting multi-agent platforms at production gradeStrong hands-on expertise in PythonDeep understanding of LLMs — prompting, fine-tuning, evaluation, and production deployment considerationsPractical experience with RAG architectures and vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, or similar)Proven experience taking AI systems from design to production at scale, with a strong focus on reliability and performanceStrong system design skills, with the ability to make sound architectural trade-offs in a fast-moving environment
📌 AI Architect (Vasanth Nagar)
🏢 LeadSquared
📍 Vasanth Nagar