{"id":1110815,"url":"https://alion.io/job/fractal-lead-ai-product-engineer","title":"Lead AI Product Engineer","company":{"id":226,"name":"Fractal","domain":"fractal.ai","url":"https://alion.io/company/fractal-analytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":94,"ghost_share":0,"stale_share":0.426,"repost_share":0.011,"time_to_fill_p50_days":34,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":74},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Next.js","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-09-22T11:39:46Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-14T14:38:20Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":52},"description":"It's fun to work in a company where people truly BELIEVE in what they are doing!\nWe're committed to bringing passion and customer focus to the business.\nThe role\nCogentiq I2C is Fractal’s agentic AI Product for invoice-to-cash, covering Collections, Cash Application, Deductions, Invoice Management and Credit Risk. It runs on a Next.js front end, a FastAPI service layer, the Cogentiq agentic runtime, and a data tier on Azure Databricks with PostgreSQL.\nYou own the AI side: the agents, the models and everything that makes them accurate and dependable in front of a finance team. You design it, you lead the team that builds it, and you write code yourself.\nWhat you will own\nTechnical design of the AI side: agent decomposition, orchestration patterns, tool design, memory and context strategy.\nThe agents across all five modules, from document extraction and matching through to the reasoning steps behind a recommendation.\nAccuracy and reliability. Evaluation sets, regression suites, and a defensible number for how well each agent performs before it ships.\nGuardrails and human oversight: confidence thresholds, escalation to a person, audit trails, and traceable reasoning for any decision touching cash.\nPredictive and machine learning models where they serve the product better than an agent does.\nModel strategy: choice of models, cost and latency per workflow, and the ability to switch providers without a rewrite.\nThe interfaces between your side and the platform, agreed jointly with the engineering.\nHow you will work\nLead the AI and agent engineering team. Set standards, coach engineers, and keep the team unblocked.\nStay in the code. Take the hardest agents yourself and set the patterns others follow.\nWork as a pair with the Engineering Lead.\nWork with product management on what an agent can realistically be trusted to do, so external commitments are grounded.\nBe able to explain an agent’s behaviour to a finance stakeholder who will not accept \"the model decided\".\nWhat you must have\nTen to fourteen years in AI, machine learning or software, with at least three leading a team.\nTrack record of owning technical design, not only implementing someone else’s design.\nProduction experience with LLM and agentic systems: multi-step workflows, tool use, orchestration frameworks, and the failure modes that only appear at scale.\nReal evaluation discipline. Evidence that you have measured agent quality with something more rigorous than manual spot checks.\nStrong Python engineering. Your team ships production code, not notebooks.\nDocument understanding and information extraction experience, ideally on messy real-world inputs such as emails, remittance advices and attachments.\nClassical machine learning depth alongside the generative work, and the judgement to know which problem needs which.\nEnough understanding of services, data and deployment to build agents that fit the platform and to hold your side of a design argument with the Engineering Lead.\nProduct track record: AI built for many clients, not one-off delivery for a single engagement.\nGood to have\nOrder-to-cash or accounts receivable domain knowledge: collections, cash application, deductions, remittance handling.\nExperience with agent observability and tracing tooling.\nExperience getting AI through enterprise risk, compliance or model governance review.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nNot the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!","description_format":"text","description_chars":3707,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Machine Learning","Decision Intelligence","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-22T11:39:46Z"}],"visa":[],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.787,"p_room":0.36,"age_days":52,"expected_fill_days":34,"reasons":["conf:4","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-14T05:58:10Z"},"pay":null,"html_url":"https://alion.io/job/fractal-lead-ai-product-engineer","json_url":"https://alion.io/job/fractal-lead-ai-product-engineer.json","meta":{"generated_at":"2026-11-14T19:18:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":23586,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":226},"rest":"https://alion.io/mcp/rest/get_company?id=226"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffractal-lead-ai-product-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffractal-lead-ai-product-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffractal-lead-ai-product-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fractal-lead-ai-product-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffractal-lead-ai-product-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1110815}},{"tool":"search_jobs","arguments":{"company":"fractal.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1110815},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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