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Valo is building an AI-powered personal assistant for every Indian — one that doesn't just answer questions but gets real-world tasks done. From making calls and managing bookings to coordinating services and payments, Valo is building autonomous AI agents that plan, execute, and deliver verified outcomes.
We are a seed-funded startup founded by experienced leaders from Zomato, IDFC FIRST Bank, Kapture CX, Microsoft, and Grab, building proprietary AI models and infrastructure for millions of users.
We are looking for a Founding AI Engineer to architect and build production-grade autonomous AI agents capable of executing complex, multi-step real-world tasks. You will own the end-to-end Agentic AI infrastructure — from LLM orchestration and browser automation to memory, workflow reliability, evaluation, and production deployment.
This is a high-ownership role working directly with the founders. Key Responsibilities Agentic AI: Build production-grade LLM agents with multi-step tool calling, MCP servers, structured outputs, and context management. Browser Automation:
Develop computer-use agents using Playwright/CDP to execute tasks across third-party websites, logins, and dynamic workflows. Workflow Orchestration: Design persistent memory, asynchronous task execution, scheduling, retries, and failure recovery. Reliability & Evaluation: Implement outcome verification, agent tracing, trajectory logging, LLM- as-judge, and regression testing. Backend & Infrastructure: Build scalable Python services and deploy distributed agent systems on AWS. Requirements: Agentic AI: Production-grade LLM agents, orchestration, multi-step tool calling, MCP. Browser Automation: Playwright, CDP, computer-use agents.
Backend Engineering: Python, asyncio, FastAPI/Django. Agent Architecture: Context management, persistent memory, asynchronous workflows, failure recovery. Evaluation & Observability: Langfuse, OpenTelemetry, LLM-as-judge, trajectory logging. Cloud & DevOps: AWS (ECS, SQS, Celery, CloudWatch), scalable infrastructure, CI/CD. Ideal Candidate Proven experience building and deploying production-grade AI agents, beyond basic chatbots or RAG applications.
Hands-on experience with browser/computer-use automation and complex agent workflows. Strong Python backend engineering and AWS deployment experience. Experience with agent evaluation, observability, and reliability engineering. Independent problem-solver comfortable owning architecture and execution in a fast-paced start up
