Role & responsibilities
This is a Platform Engineering role involving both frontend and backend development, focused on building the infrastructure and tooling for our AI ecosystem.
We are building an AI Agent platform that enables product teams to build, operate, and scale AI-powered agents across our ERP ecosystem.
Our team focuses on building the platform infrastructure frameworks, SDKs, runtime systems, and tooling that allow multiple teams to safely develop and deploy AI agents in production.
This role is ideal for engineers who enjoy building platforms used by other engineers, solving distributed systems challenges, and shaping how AI capabilities scale across a large SaaS ecosystem.

Preferred candidate profile
7+ years of software engineering experience building and operating web applications
Strong backend (Java or Golang) and platform engineering experience (APIs, microservices, distributed systems)
Experience building platforms, internal tools, SDKs, or infrastructure used by other teams
Hands on experience working on SDLC at backend along with frontend exposure (Typescript, NextJs)
Experience with cloud infrastructure (AWS preferred), Docker, Kubernetes, and Infrastructure as Code (Terraform, Kubernetes manifests)




Solid API design skills (REST/streaming) with focus on developer experience and reliability
Experience integrating LLM APIs (OpenAI, Gemini, Anthropic, etc.) into production systems
Ability to solve problems end-to-end from design through production rollout with solid problem-solving and decision-making
Product mindset that shows proven ability to translate high-level product requirements into explicit, detailed technical solutions through close collaboration with Product Managers.
Experience mentoring engineers and contributing to technical design discussions
Comfortable using AI-assisted development tools to improve engineering productivity

Preferred Skills and Experience
Understanding of AI agent patterns (tool use, function calling, memory, multi-turn conversations, guardrails)
Experience building multi-tenant SaaS platforms or developer platforms
Familiarity with observability tools (Datadog, logging, tracing)
Experience designing CI/CD pipelines and automated infrastructure workflows
Comfortable working cross-team with product, security, and other engineering teams

📌 Ai Integrated Fullstack Engineer Pune (India)
🏢 Money Forward
📍 India