{"id":4007506,"url":"https://alion.io/job/weekday-founding-ai-engineer-2","title":"Founding AI Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":105,"ghost_share":0,"stale_share":0.981,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Delhi, India","Gurgaon, India","Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3000000,"max":9000000,"currency":"INR","period":"year","gross":null,"usd_annual":96237},"salary_estimate":null,"experience_years_min":null,"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":"Chrome DevTools","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":"2026-11-10T08:02:53Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T08:02:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This role is for one of Weekday’s clients\nSalary range: Rs 3000000 - Rs 9000000 (ie INR 30 - 90 LPA)\nMin Experience: 6+ years\nLocation: NCR, India\nJobType: full-time\nWe are looking for a Founding AI Engineer to architect, build, and scale production-grade autonomous AI agents capable of executing complex, multi-step real-world tasks.\nThe organisation is developing an AI-powered personal assistant designed to help users complete everyday tasks, from making calls and managing bookings to coordinating services and processing payments. The platform uses autonomous AI agents that can plan, execute, and verify outcomes rather than simply respond to user queries.\nAs a Founding AI Engineer, you will own the end-to-end Agentic AI infrastructure, spanning LLM orchestration, browser automation, persistent memory, workflow reliability, evaluation, and production deployment. This is a high-ownership opportunity to work directly with the founders and shape the core AI architecture and engineering direction.\nRequirements\nKey Responsibilities\nAgentic AI Development\nDesign, develop, and deploy production-grade LLM agents capable of executing complex, multi-step tasks.\nImplement advanced agent workflows involving multi-step tool calling, MCP servers, structured outputs, and context management.\nBuild robust LLM orchestration systems that enable agents to plan, reason, execute, and verify task outcomes.\nBrowser and Computer-Use Automation\nDevelop browser and computer-use agents using Playwright and Chrome DevTools Protocol (CDP).\nBuild automation capabilities for interacting with third-party websites, authentication flows, logins, and dynamic web interfaces.\nEnsure reliable execution of complex workflows across external platforms.\nWorkflow Orchestration and Reliability\nDesign persistent memory systems and asynchronous task execution frameworks.\nImplement scheduling, retries, state management, and failure-recovery mechanisms.\nBuild reliable workflows that can manage long-running tasks and handle unexpected execution failures.\nEvaluation and Observability\nImplement outcome verification, agent tracing, and trajectory logging.\nDevelop evaluation frameworks using LLM-as-a-Judge and regression testing.\nMonitor agent performance, identify failure patterns, and continuously improve reliability and execution quality.\nBackend Engineering and Infrastructure\nBuild scalable backend services and distributed agent systems using Python.\nDesign and deploy cloud-based infrastructure on AWS.\nEnsure system performance, scalability, reliability, and maintainability in production environments.\nRequired Qualifications\nProven experience building and deploying production-grade Agentic AI systems, beyond basic chatbots or conventional RAG applications.\nStrong expertise in LLM orchestration, multi-step tool calling, and autonomous agent workflows.\nHands-on experience with MCP servers, structured outputs, and context management.\nPractical experience developing browser automation and computer-use agents using Playwright and CDP.\nStrong Python backend engineering skills, including experience with asyncio and frameworks such as FastAPI or Django.\nUnderstanding of agent architecture, persistent memory, asynchronous workflows, and failure-recovery mechanisms.\nExperience with AI evaluation and observability tools such as Langfuse and OpenTelemetry.\nFamiliarity with LLM-as-a-Judge, trajectory logging, agent tracing, and regression testing.\nHands-on experience deploying scalable applications on AWS, including services such as ECS, SQS, Celery, and CloudWatch.\nKnowledge of CI/CD practices and production infrastructure management.\nStrong problem-solving skills and the ability to independently own technical architecture and execution.\nIdeal Candidate Profile\nA hands-on AI engineer who has built and operated autonomous agents in real-world production environments.\nComfortable working across the entire AI engineering stack, from agent architecture and orchestration to backend development and cloud deployment.\nExperienced in building reliable systems that interact with external platforms and execute multi-step workflows.\nStrong ownership mindset with the ability to make technical decisions and drive projects independently.\nComfortable working in a fast-paced startup environment and collaborating directly with founders.\nMust-Have Skills\nAgentic AI\nLLM Orchestration\nMulti-Step Tool 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