{"id":779689,"url":"https://alion.io/job/cenna-founding-engineer-ai","title":"Founding Engineer, AI","company":{"id":671615,"name":"Cenna","domain":"cenna.io","url":"https://alion.io/company/cenna","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Chain-of-Thought","optional":false},{"name":"CrewAI","optional":false},{"name":"Haystack","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Tool Use","optional":false},{"name":"Computer Use","optional":true},{"name":"Fine-tuning","optional":true},{"name":"ITSM","optional":true},{"name":"LoRA","optional":true},{"name":"PEFT","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-01-21T04:11:37Z","employer_posted_date":"2026-01-21","last_verified_at":"2026-09-30T05:36:54Z","board_verified":true,"closed_at":null,"days_open":253,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":252},"description":"Build our agentic services platform from zero to one. Own backend architecture from initial concept through production deployment to enterprise scale.\nAbout this role\nWe're looking for an AI Engineer to build and improve the intelligent core of our agentic platform. You'll work on multi-agent systems, LLM orchestration, and the AI capabilities that power our enterprise automation. This is a hands-on role where you'll design, implement, and optimize AI systems that execute real business processes - not just chatbots, but agents that get work done.\nResponsibilities\nDesign and build multi-agent systems that orchestrate complex business process automation\nWork with agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar) to build reliable, production-grade agentic workflows\nImplement and optimize LLM-powered reasoning, planning, and tool-use capabilities\nBuild RAG pipelines and knowledge retrieval systems to ground agents in enterprise context\nFine-tune and evaluate Small Language Models (SLMs) for domain-specific tasks\nDevelop prompt engineering strategies and evaluation frameworks for agent reliability\nCollaborate with integration engineers to connect agents with enterprise systems\nDebug and improve agent behavior based on production feedback and failure analysis\nRequirements\n3-5 years of experience in software engineering, with at least 1-2 years focused on AI/ML or LLM applications\nStrong programming skills in Python\nHands-on experience with agent frameworks: LangChain, LangGraph, CrewAI, AutoGen, Haystack, or similar\nExperience building applications with LLM APIs (OpenAI, Anthropic, Azure OpenAI, open-source models)\nUnderstanding of prompt engineering, chain-of-thought reasoning, and tool-use patterns\nFamiliarity with RAG architectures, vector databases, and embedding models\nAbility to debug complex AI systems and iterate based on real-world failures\nStrong communication skills and ability to work cross-functionally\nNice to Have\nExperience fine-tuning LLMs or training custom models (LoRA, PEFT, etc.)\nFamiliarity with browser/computer-use agents and UI automation\nExperience with ML infrastructure: model serving, GPU optimization, inference at scale\nBackground in reinforcement learning or decision-making systems\nUnderstanding of enterprise IT, ITSM, or business process automation\nStartup experience or comfort working in fast-paced, ambiguous environments","description_format":"text","description_chars":2407,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-12T00:21:43Z"},{"event":"open","at":"2026-09-26T23:40:13Z"}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.16,"p_room":0.28,"age_days":252,"expected_fill_days":17,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/cenna-founding-engineer-ai","json_url":"https://alion.io/job/cenna-founding-engineer-ai.json","meta":{"generated_at":"2026-10-01T04:32:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3909,"day_limit":5000,"remaining_today":1091,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}