---
title: "Saurabh Maurya - Lead Engineering in Bangalore Urban | Tal"
description: "Meet Saurabh Maurya, LLM / GenAI Lead Engineer | Building Enterprise AI Systems | LLM Infrastructure | Multi-Agent Systems | RAG | AI Platforms | LLMOps | AI Evaluation | Backend Architect | Python | AWS | Distributed Systems based in Bangalore Urban. AI stack includes deepseek, hermes agent, and l..."
image: "https://tal.club/meet/saurabh-maurya-2/share-image"
---

# Saurabh Maurya on Tal

## Headline

LLM / GenAI Lead Engineer \| Building Enterprise AI Systems \| LLM Infrastructure \| Multi\-Agent Systems \| RAG \| AI Platforms \| LLMOps \| AI Evaluation \| Backend Architect \| Python \| AWS \| Distributed Systems

## About

I'm a GenAI and AI Infrastructure Engineer with 5\+ years of experience building distributed backend systems, enterprise payment platforms, and production\-ready AI applications\. My current focus is designing scalable LLM systems, including Retrieval\-Augmented Generation \(RAG\), Agentic AI, multi\-agent workflows, AI developer platforms, LLM evaluation, semantic search, and AI observability\. I enjoy solving challenges around latency, reliability, scalability, and cost optimization to build AI systems that are dependable in production\. Before transitioning to Generative AI, I built high\-throughput banking and payment systems, giving me a strong foundation in distributed systems, cloud\-native architecture, and performance engineering\. That experience shapes how I approach AI engineering—with reliability, maintainability, and operational excellence as first principles\. Core Expertise: LLM Infrastructure • RAG • Agentic AI • AI Evaluation • Distributed Systems • Backend Architecture • Cloud Infrastructure Tech Stack: Python • FastAPI • Node\.js • LangGraph • LangChain • OpenAI • Anthropic • AWS • Kubernetes • Docker • PostgreSQL • Redis • Neo4j • RabbitMQ I also enjoy sharing my learnings through technical writing and open\-source projects focused on production AI systems\.

## Location

Bangalore Urban

## AI stack

deepseek

hermes agent

langchain

langfuse

mistral

Ragas

## Work experience

Lead Engineering at Pratishthan Software Ventures Pvt\. Ltd, Apr 2026 \- Present · 6 mos, Bengaluru, \- Designed and engineered production\-grade Retrieval\-Augmented Generation \(RAG\) pipelines utilizing advanced hybrid retrieval and vector search to maximize context relevance and grounding quality\. \- Optimized embedding generation, semantic chunking strategies, and re\-ranking pipelines, significantly improving retrieval accuracy while reducing LLM hallucination rates\. \- Engineered deterministic, multi\-step agent workflows leveraging tool\-calling, structured reasoning patterns, and LangGraph to automate complex enterprise tasks\. \- Implemented robust evaluation and observability pipelines to run accuracy scoring, regression testing, and real\-time response validation for prompt updates and model transitions\. \- Drastically reduced inference latency and operational API costs by architecting semantic caching layers via Redis and optimizing upstream API routing\. \- Devised systematic prompt engineering and version control strategies to enforce output consistency and strict guardrails across enterprise\-wide business workflows

Team Lead at Pratishthan Software Ventures Pvt\. Ltd, Apr 2025 \- Mar 2026 · 1 yr, Bengaluru, \- Led a team working on LLM, Generative AI, and agentic AI systems, building production\-grade AI workflows on a large enterprise payments platform\. \- Designed an infra\-level code generation platform that converts LLD \+ configuration into one\-click backend and infrastructure code, enforcing consistent architecture patterns across microservices\. \- Built a LangChain\-based agent creation platform \(Python, LangChain, OpenAI, Anthropic\) enabling users to deploy AI agents via prompt \+ configuration with zero\-code setup\. \- Developed a LLM\-powered component test generation system that converts LLD \+ chat inputs into design\-aware test suites, isolated from production releases to ensure stability during active development\. \- Architected a Neo4j\-based code intelligence graph mapping services, APIs, and dependencies, and built an LLD design assistant that guides product teams step\-by\-step while surfacing impacted systems in real time\. \- Built scalable backend systems \(Node\.js, Python, microservices\) supporting AI\-driven workflows and high\-throughput APIs\. \- Designed event\-driven architectures using RabbitMQ for asynchronous execution of LLM tasks and agent workflows\. \- Worked on AWS cloud infrastructure \(Lambda, EC2, Kubernetes\) to deploy and scale GenAI services with high availability\. \- Optimized PostgreSQL and Redis systems to improve retrieval performance and reduce latency for AI applications\. \- Implemented observability pipelines \(logging, monitoring, tracing\) to ensure reliability and production readiness of AI systems\.

Senior Software Engineer at Pratishthan Software Ventures Pvt\. Ltd, Apr 2023 \- May 2025 · 2 yrs 2 mos, Bangalore Urban, \- Designed and implemented UKFPS and HKFPS payment services, including middleware and REST APIs for UK and HK banks on top of the Finacle platform\. \- Drove a critical NFR and performance initiative that reduced single\-transaction latency from 8 seconds to 2 seconds by tuning database queries, caching, and messaging layers using Dynatrace and AWR insights\. \- Designed SWIFT payment architecture and integrated existing modules into a dedicated SWIFT microservice, ensuring scalability, reliability, and maintainability\. \- Worked on Mastercard integration for international transactions, collaborating with cross\-functional teams to meet functional and non\-functional requirements\. \- Enabled connection pooling in IBM MQ and configured Redis authentication/authorization, improving throughput, stability, and security for high\-volume payment flows\. \- Created and reviewed technical design documents \(LLD/HLD\), analysed impact of new features on existing services, and handled production incidents and deployment\-related issues\.

Software Developer at TeckMines, Aug 2020 \- Dec 2020 · 5 mos, Mumbai, \- Owned end\-to\-end backend product development, delivering highly maintainable cloud services integrated across core business applications\. \- Designed and provisioned scalable cloud architecture on AWS, establishing decoupled messaging queues to support asynchronous communication and reliable data delivery\. \- Configured and managed on\-site production deployments while successfully embedding MLOps practices into the core software delivery lifecycle\.

Lead Software Engineer at Verdant Motors Pvt Ltd, Apr 2020 \- Jan 2021 · 10 mos, Bangalore Urban, \- Scaled and managed high\-availability company web platforms and engineered secure internal admin portals to optimize operational workflows\. \- Architected and deployed production microservices on AWS, leveraging containerization to ensure seamless service integration and high reliability\. \- Designed and implemented an AWS\-based IoT ingestion service enabling secure, low\-latency communication patterns between edge devices and centralized servers

## Education

Bachelor of Engineering \- BE, Information Technology, Singhad institute of technology

Senior Secondary, Science, SBBG Inter College

[View the original profile](https://tal.club/meet/saurabh-maurya-2)

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