{"id":3506886,"url":"https://alion.io/job/valo-founding-ai-engineer","title":"Founding AI Engineer","company":{"id":4488327,"name":"Valo","domain":"tellvalo.com","url":"https://alion.io/company/valo-4","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Asyncio","optional":false},{"name":"AWS","optional":false},{"name":"Celery","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Use","optional":false},{"name":"Django","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Langfuse","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Playwright","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false}],"status":"live","first_seen_at":"2026-10-30T05:36:59Z","employer_posted_date":null,"last_verified_at":"2026-10-30T05:36:59Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"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.\n\nResponsibilities: \nAgentic AI: Build production-grade LLM agents with multi-step tool calling, MCP servers, structured outputs, and context management.\nBrowser Automation: Develop computer-use agents using Playwright/CDP to execute tasks across third-party websites, logins, and dynamic workflows.\nWorkflow Orchestration: Design persistent memory, asynchronous task execution, scheduling, retries, and failure recovery.\nReliability and Evaluation: Implement outcome verification, agent tracing, trajectory logging, LLM-as-judge, and regression testing.\nBackend and Infrastructure: Build scalable Python services and deploy distributed agent systems on AWS.\n\nRequirements: \nAgentic AI: Production-grade LLM agents, orchestration, multi-step tool calling, and MCP.\nBrowser Automation: Playwright, CDP, computer-use agents.\nBackend Engineering: Python, asyncio, FastAPI/Django.\nAgent Architecture: Context management, persistent memory, asynchronous workflows, failure recovery.\nEvaluation and Observability: Langfuse, OpenTelemetry, LLM-as-judge, trajectory logging.\nCloud and DevOps: AWS (ECS, SQS, Celery, CloudWatch), scalable infrastructure, CI/CD.\n\nIdeal Candidate: \nProven experience building and deploying production-grade AI agents, beyond basic chatbots or RAG applications.\nHands-on experience with browser/computer-use automation and complex agent workflows.\nStrong Python backend engineering and AWS deployment experience.\nExperience with agent evaluation, observability, and reliability engineering.\nIndependent problem-solver comfortable owning architecture and execution in a fast-paced startup.\nSkills\nAsyncio, Browser Automation, CDP, Computer Automation, Django, FastAPI, LLM, Large Language Model, MCP, Model Context Protocol, Playwright, 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