Senior Software Engineer, AI Platform
Company: Ford Global
Location: Bangalore, Karnataka, India
Type: Full-time
Posted: 2026-11-10
About this role
As a Senior AI Fullstack Engineer, you’ll work on the core systems behind the Intent Platform, building reusable platform capabilities that engineering teams use to develop and operate AI applications and Agents. The role spans Agentic AI, backend services, APIs, data, and frontend experiences, with a focus on turning emerging AI patterns into reliable, scalable capabilities that work across different teams and use cases.
The work includes designing capabilities for agent orchestration, tool execution, RAG and retrieval, context and memory management, multi-agent workflows, model routing, evaluation, and observability.
Our current technology stack includes Google ADK, Vertex AI, LiteLLM, Python/FastAPI, PostgreSQL, and React. We are not looking for experience with this exact stack. Experience building similar systems using other agent frameworks, model platforms, orchestration layers, or modern full-stack technologies is equally relevant.
The engineer will also work on problems that come with moving AI applications from experimentation into production, including reliability, performance, scale, evaluation, security, and governance. Because developers are the primary users of the platform, the role also involves working directly with engineering teams to improve APIs, tooling, workflows, and UI/UX based on how the platform is used in practice.
We are looking for someone who has built real AI applications or Agents, understands the engineering trade-offs involved in running them in production, and can work across the stack when needed. Experience building platforms, frameworks, SDKs, or developer tools is particularly relevant, but not required.
- Design and build reusable platform capabilities for developing, testing, deploying, monitoring, and governing AI applications and Agents.
- Build and evolve Agentic AI capabilities including agent orchestration, tool execution, RAG and retrieval, context and memory management, multi-agent workflows, and model ro...