Senior Software Engineer

Senior Software Engineer

Cloud & AI Labra Bengaluru (In-office)

Build the AI agents, sync engine, and full-stack product that keep enterprise CRMs and cloud partner programs in lockstep, and own them in production.

Title : Senior Software Engineer (Cloud & AI)

Experience : 5+ years of professional software engineering.

Core stack : Python, TypeScript/React, Go, AWS, GCP, Azure, LLMs

Location : Bengaluru, India (in-office)

Employment type : Full-time

About Labra

Labra builds cloud-native B2B SaaS products powered by AI agents that help companies accelerate their cloud transformation. Our teams work at the intersection of generative AI, AI agents, cloud infrastructure, and modern full-stack engineering, shipping products that customers and internal teams use every day.

The Role

This is a hands-on role with real scope across three areas: AI agents and LLM features, the backend and sync engine, and the React product customers use. Your depth can be in one area, as long as you’re comfortable working across all three.

You’ll join a pod that pairs feature work with stability work. You’ll take problems from a half-formed customer need to architecting a feature running reliably in production: designing the system, writing most of the code, reviewing teammates’ work, and being accountable for how it behaves once it ships.

What You’ll Own

AI agents and LLM features

• Build production AI agents and LLM features with RAG, tool calling, and MCP-based workflows.
• Design context management: memory, compression, retrieval and prompt optimization.
• Optimize for time to first token (TTFT), latency, token usage, and cost through caching, parallel tool execution, and reducing unnecessary LLM calls.
• Ship streaming AI experiences over SSE and WebSockets.

Sync engine and integrations

• Design, build and ship modules for various business systems (such as CRM, ERPs) integrations, sync configuration and co-sell pipeline visibility.
• Make high-volume, bidirectional sync between CRMs and cloud partner programs fast, correct and recoverable.
• Build event-driven processing on AWS SQS, EventBridge, SNS, Lambda, and Step Functions, with robust retries, idempotency, and dead-letter handling.

Full-stack product

• Build customer-facing features in React and TypeScript, backed by well-designed REST APIs and services in Python or Go.
• Implement authentication, authorization, RBAC, and secure third-party integrations.
• Profile slow endpoints and queries, tune connection pools and aggregation pipelines, and load-test before customers hit the limits.
• Write automation and unit tests for the code before it is deployed.

Production and engineering quality

• Add the metrics, logs, traces, and alerts that catch issues first, and cut alert noise so real signals stand out.
• Join the on-call rotation, lead incident debugging, and ship root-cause fixes rather than patches.
• Improve scalability, reliability, and cloud cost efficiency on AWS.
• Write design docs, review code, raise test coverage, and mentor junior engineers in your pod.

Our Stack

You don’t need all of this on day one. Strong fundamentals in one language and one database matter more.

Area & What we use

Languages: Python (primary), TypeScript, Go

Frontend : React, TypeScript

Backend frameworks : FastAPI, Flask, NestJS

AI and LLMs : Amazon Bedrock, AgentCore, Claude, MCP, LangChain / LangGraph

Data and search : PostgreSQL (RDS), MongoDB / DocumentDB, DynamoDB, OpenSearch

Async and messaging : AWS SQS, SNS, Lambda, Step Functions, EventBridge

Cloud and infra : AWS (ECS Fargate, IAM, S3), GCP (Cloud Run), Azure, Docker, Terraform, CloudFormation, Jenkins

Integrations : Salesforce APIs (incl. Bulk API, Canvas), HubSpot, AWS ACE, Workato

AI development tools : Cursor, Copilot, Claude Code

What You Bring

• 5+ years building and running software in production, ideally in a B2B SaaS product.
• Strong Python or Go, TypeScript with a willingness to work mainly in Python.
• Hands-on experience with React and TypeScript for production frontends.
• Solid REST API design and experience with microservices, distributed systems and asynchronous processing, ideally on AWS SQS, SNS and Lambda: queues, retries, idempotency and failure handling.
• Depth in at least one relational database (PostgreSQL or MySQL) and one NoSQL store (MongoDB or DynamoDB…