Backend AI Engineer

Overview

About the Role

We are building the AI-native infrastructure that will power how every product and team

builds, ships, and operates. As a Senior Software Engineer on the Builder Experience team, you

will own core platform services, abstractions, and guardrails that make it safe and easy for

engineers across teams to build on top of LLMs and agents.

You will work across cloud and edge, shape the architecture of our next-generation developer

platform, and turn experimental AI workflows into reliable, multi-tenant production systems.

What You Will Work On​

● Platformized agentic workflows: Design and build reusable agent harnesses and

orchestration services that other teams can plug into, rather than one-off bots.

● Framework evaluation and standardization: Evaluate, integrate, and standardize agent

and orchestration frameworks (e.g., LangGraph, Amazon Bedrock Agent

Framework/AgentCore) as core building blocks for our AI-native platform.

● Company-wide knowledge graph: Build ingestion pipelines, storage models, and APIs

that expose LLM-ready context as a shared platform capability.

● Internal developer platform: Evolve our internal developer platform

(Minerva/Vulcan/Build) into the primary way to discover, consume, and safely

extend internal APIs, with first-class AI/agent primitives.

● Security and guardrails: Implement cross-cutting policies (authZ, rate limits, capability

scopes, audit trails) to ensure AI-powered features are safe by default.

● GitHub-native delivery: Build services that standardize how code, agents, and

workflows move from branch to production via PRs, checks, and automated review.

● MCP server ecosystem: Operate a fleet of domain-specific MCP servers as platform

components with clear SLAs, observability, and lifecycle management.

Responsibilities

● Design, build, and operate scalable, multi-tenant platform services used by product,

operations, and engineering teams.

● Develop and evolve APIs and systems across edge runtimes and cloud environments.

● Architect distributed systems spanning edge runtimes, cloud providers, and internal

platforms.

● Embed AI and LLM-powered capabilities into platform surfaces (e.g., Vulcan, CI/CD,

Slack), enabling safe agent workflows and tool use.

● Define standards, best practices, and reference implementations for building AI-native

features at.

What We’re Looking For

● 5+ years of software engineering experience with a focus on backend or platform

systems.

● Strong fundamentals in APIs, distributed systems, and security for multi-tenant

environments.

● Hands-on experience with LLMs, agent frameworks, or AI tooling (e.g., LangGraph,

Amazon Bedrock Agent Framework/AgentCore, OpenAI, Anthropic) and a desire to

treat them as platform primitives, not just product features.

● Experience building or contributing to internal platforms, API gateways, or developer

tooling (e.g., GitHub-based workflows, CI/CD).

● Familiarity with GraphQL, service-to-service communication patterns, and observability

for complex systems.

● Curiosity about the rapidly evolving AI ecosystem and a bias toward pragmatic

infrastructure that teams readily adopt​

Nice to Have

● Experience with MCP or similar multi-tool/agent orchestration patterns in production.

● Background in platform security (fine-grained authorization, rate limiting, isolation

boundaries).

● Prior work with AWS or GCP AI/agent services as part of a broader platform or

developer experience initiative.

● Experience building internal Slack apps or workflow automation that integrate with

platform services.​

Why Join

● Define the core AI-native platform that future product teams will build on.

● Work at the intersection of developer experience, platform engineering, and applied AI

in a company with real operational scale.

● Join a small, high-ownership team with direct executive visibility and the mandate to

move quickly.

● Help codify the patterns, guardrails, and building blocks that make AI-native

development safe, observable, and productive across the company.

Pay: ₹2,000,000.00 - ₹3,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Work Location: In person