Lead Software Engineer

Uber · Bengaluru

  • Experience9–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About Uber

Uber is hiring in Bengaluru in automotive mobility. This role looks for around 9+ years of experience.

Skills

  • Python
  • Django
  • Flask
  • React
  • Angular
  • TypeScript
  • agentic AI
  • Generative AI
  • Guardrails
  • LLM
  • RAG
  • AWS Bedrock
  • Strands Agent SDK
  • AWS Bedrock AgentCore
  • LiteLLM
  • MCP
  • FastMCP
  • DeepEval
  • Guardrails AI
  • Arize Phoenix
  • Langfuse
  • OpenTelemetry
  • token metering
  • React Flow
  • CodeMirror
  • declarative UI
  • SSE event streaming
  • Expo
  • React Native
  • A2A protocol
  • AWS Step Functions
  • Amazon EventBridge
  • Neo4j
  • Trino
  • Databricks
  • Vertex AI
  • customer data platform
  • marketing technology
  • GoCD
  • Husky
  • Orval
  • monorepo development
  • Celery
  • PostgreSQL
  • tenant isolation
  • Terraform
  • Amazon ECS
  • CI/CD

The role

A software engineer at a mobility marketplace builds agentic AI platforms with Generative AI and MCP, connecting Django APIs, AWS Bedrock, RAG, and workflow orchestration. The role also develops React applications and mobile experiences for customer-facing platform products.

Full job description

Requirements:

Skills: Python, Django, Flask API, React or Angular, Typescript, agentic AI, Gen AI, Guardrails, LLM, RAG, AWS Bedrock, and any cloud.

Experience with Strands Agent SDK, AWS Bedrock AgentCore, LiteLLM, or comparable agent runtime frameworks.

Experience building MCP servers or tool-calling integrations using FastMCP or similar frameworks.

Experience with agent evaluation (DeepEval, Guardrails AI), LLM observability (Arize Phoenix, Langfuse, OpenTelemetry), and token metering.

Experience with React Flow (xyflow) for workflow visualisation, CodeMirror for in-browser editors, and declarative UI / SSE event streaming.

Experience with Expo / React Native for mobile applications.

Experience with A2A (Agent-to-Agent) protocol, cross-account AWS agent execution, and Step Functions / EventBridge orchestration.

Working knowledge of Neo4j, Trino, Databricks, or Vertex AI RAG integrations.

Experience building platforms in privacy-safe, customer data platform (CDP), or marketing technology environments.

Experience with GoCD, Husky pre-commit hooks, Orval OpenAPI code generation, and monorepo development workflows.

Specialisation Tracks:

Platform backend Django apps, APIs, Celery, PostgreSQL, tenant isolation, and publishing workflows.

Agent Runtime / AI Strands SDK, Bedrock, MCP, RAG, evaluation, streaming, performance optimisation.

Frontend / UX React apps, shadcn/ui, workflow editors, SSE streaming, type-safe API clients.

Mobile Expo / React Native companion application.

Platform / Infra: Terraform, ECS, observability, CI/CD, cross-account AWS.