---
title: "Najid Navas - Software Engineer 2 in Bengaluru | Tal"
description: "Meet Najid Navas, Software Engineer II @ Cisco | Backend & AI Platform Engineer | Agentic AI, RAG, Go, Python, Java, TypeScript | Distributed Systems & Kubernetes based in Bengaluru. AI stack includes anthropic apis, claude code, and hugging face."
image: "https://tal.club/meet/najid-navas/share-image"
---

# Najid Navas on Tal

## Headline

Software Engineer II @ Cisco \| Backend & AI Platform Engineer \| Agentic AI, RAG, Go, Python, Java, TypeScript \| Distributed Systems & Kubernetes

## About

Backend and AI Platform Engineer at Cisco building enterprise agentic AI systems used by 15,000\+ employees\. I work across Go, Python, Java, TypeScript, React, microservices, RAG, vector search, distributed systems, and Kubernetes\. My focus is turning AI prototypes into secure, measurable production platforms—from agent orchestration and Workday workflows to retrieval, evaluation, guardrails, observability, and release engineering\. Selected impact: • Reduced AI tool\-routing latency from 10\.6 seconds to \~710 milliseconds with hybrid BM25 \+ dense retrieval and Reciprocal Rank Fusion, eliminating LLM tokens from tool selection\. • Built capabilities across a \~30\-repository platform with 140–150 tools and secure OAuth2/OIDC, LDAP/RBAC, privacy, consent, and audit controls\. • Developed evaluation and knowledge\-ingestion systems that test hundreds of prompts in minutes and improve trusted\-source integrity\. • Earlier built payment and subscription microservices with Node\.js, TypeScript, PostgreSQL, Prisma, and RabbitMQ, improving API response time by 30% through asynchronous processing\. Open to Backend, AI Platform, Generative AI, Machine Learning Platform, and Full\-Stack engineering roles where I can own systems end to end\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

hugging face

langchain

mcp

openclaw

## Work experience

Software Engineer 2 at Cisco, May 2026 \- Present · 4 mos, Hybrid, • Build and operate Cisco’s enterprise HR and People Support AI assistant, used by 15,000\+ employees, across a \~30\-repository Go, Python, and Node\.js microservice platform with ReAct\-based orchestration and 140–150 tools\. • Own production capabilities across agent orchestration, secure Workday workflows, retrieval\-augmented generation, evaluation, safeguards, and MCP\-compatible services; deliver employee and manager experiences with OAuth2/OIDC, LDAP/RBAC, privacy controls, and auditability\. • Designed a hybrid BM25 \+ dense\-retrieval tool router using Reciprocal Rank Fusion, caching, connection pre\-warming, bounded timeouts, and graceful degradation; reduced routing latency from 10\.6 seconds to \~710 milliseconds while eliminating LLM tokens from tool selection\. • Unified knowledge\-base, FAQ, and workplace content into persona\-aware Weaviate schemas using Kubernetes CronJobs; hardened ingestion with race\-safe initialization, retry/backoff, and per\-document fallback\. • Built AI evaluation and reference\-integrity capabilities that test hundreds of prompts in minutes, repair malformed streaming URLs, preserve trusted domains, and guard against fabricated sources\. • Drive delivery from design and implementation through automated testing, observability, load/regression validation, and Kubernetes releases across development, staging, and production\.

Software Engineer at Cisco, Aug 2024 \- May 2026 · 1 yr 10 mos, Hybrid, • Built and operated enterprise agentic HR services using Go, Python, REST APIs, retrieval\-augmented generation, and microservices across employee and manager workflows for time off, compensation, performance, and talent data\. • Developed access\-controlled Workday integrations with OAuth2/OIDC, LDAP/RBAC, privacy controls, PostgreSQL, MongoDB, Redis, RabbitMQ, Weaviate, and Pinecone\. • Built React and Cisco design\-system dashboards for proactive employee messaging and People Intelligence/Sentiment Analysis workflows\. • Improved platform reliability through caching, retries, backoff, health checks, structured logging, Prometheus/Grafana monitoring, load testing, and regression automation\. • Contributed across requirements, implementation, code reviews, testing, incident diagnosis, and CI/CD delivery in a multi\-service production environment\.

Software Engineer Intern at Cisco, Jan 2024 \- Jul 2024 · 7 mos, On\-site, • Developed backend components and REST APIs using Java and Spring Boot, focusing on maintainable service design and system integration\. • Built Python automation scripts to streamline repetitive engineering and validation tasks\. • Debugged application issues, tested API integrations, and improved reliability through structured error handling and code reviews\. • Collaborated in an Agile engineering team across requirements, implementation, testing, and delivery\.

Software Engineer Intern at Dataequinox, May 2023 \- Dec 2023 · 8 mos, Thrissur, Kerala, India, • Built payment and subscription microservices using Node\.js, TypeScript, PostgreSQL, Prisma, and RabbitMQ\. • Implemented asynchronous processing that improved API response time by 30%\. • Contributed to system design and scalable backend architecture decisions\.

Frontend Developer at Mind Empowered, Nov 2022 \- Jun 2023 · 8 mos, Cusat

Chief Technology Officer at Notime\.edu, Sep 2022 \- Dec 2023 · 1 yr 4 mos, Cittic,CUSAT, KOCHI

Frontend Developer at Revyu \- AI Powered Reviews, May 2022 \- May 2023 · 1 yr 1 mo, Kochi, Kerala, India

## Education

Bachelor of Technology \- BTech, Computer Science, Cochin University of Science and Technology

YESI EDUCATION

[View the original profile](https://tal.club/meet/najid-navas)

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