{"id":990867,"url":"https://alion.io/job/mendo-ai-engineer","title":"AI Engineer","company":{"id":695211,"name":"Mendo","domain":"mendo.cloud","url":"https://alion.io/company/mendo-2","size_band":null,"is_staffing_agency":true,"is_intermediary":false,"ats_vendor":"Teamtailor","truth_index":{"grade":"D","score":52,"open_postings":10,"ghost_share":0.8,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":56000,"max":65000,"currency":"EUR","period":"year","gross":true,"usd_annual":75021},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gemini","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Sentence-Transformers","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"TypeScript","optional":false},{"name":"GGUF","optional":true},{"name":"Kubernetes","optional":true},{"name":"llama.cpp","optional":true},{"name":"OpenAI","optional":true},{"name":"WebAssembly","optional":true}],"status":"live","first_seen_at":"2026-09-15T08:41:47Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-09-24T05:36:29Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":8},"description":"Location: Paris, Châtelet - Hybrid (2 days on-site / 3 days remote)\n\nContract: Full-time (permanent)\n\nTeam: Technology\n\nCompensation: €56,000-€65,000 gross annual package (base + 8% target variable) + BSPCE (equity), depending on step\n\nAbout Mendo - and why this matters\nWe're living through the biggest technological shift since the internet. Generative AI is changing how people work - yet most teams barely scratch the surface, unsure how to turn the hype into real, everyday value. Closing that gap is exactly what Mendo does.\nMendo is the AI Transformation Platform for enterprise clients. Rather than adding yet another tool to the stack, we work right inside the AI tools teams already use - Microsoft 365 Copilot, ChatGPT, Gemini, Claude, and internal agents. From there, we guide people toward proven use cases, certify their skills, and give organizations a clear view of what's actually driving value.\nAnd it's working. We support 100+ enterprise clients - including EY, PwC, Crédit Agricole, SNCF, La Poste, ENGIE, Groupe SEB, and Novo Nordisk - with 200+ use cases live, a user NPS of 64, and 3x GenAI ROI within months. We've raised €12M following our Series A and we're scaling fast.\nJoin us and you won't just ship software - you'll shape how leading organizations adopt the defining technology of our era, and help keep people at the center of the AI revolution rather than left behind by it. We believe humans have a vital role to play in this revolution, and we're building the platform that keeps them there.\nCore mission\nMake Mendo's AI work, every day. We already ship AI across the product - proprietary small language models that run on people's own devices, retrieval and classification pipelines, and the analytics that tell organizations what's actually driving value. Your job is to execute: train and evaluate the models, keep the features we've shipped healthy in production, and be the hands-on AI partner the product squads turn to when they're shaping what comes next.\nYou'll work alongside our CTO and the engineering squads, own the AI workstream for a product area end to end, and become its AI referent. This is an individual-contributor role with no direct reports - we need someone autonomous who ships and operates, not someone who wants to run a team.\nKey responsibilities\n1. Train and evaluate our models\nTrain, fine-tune, and evaluate our proprietary language models - including the small models that run on-device.\n\nCurate and maintain the datasets, golden sets, and evaluation harnesses those models are judged against.\n\nShip model updates into production and measure the result, rather than stopping at a promising notebook.\n\n2. Maintain what we've built\nOwn the health of the AI features in production: quality, cost, and latency - and catch silent regressions before users do.\n\nDebug AI incidents end to end, from retrieval quality to prompt drift to model behaviour on a client's machine.\n\nKeep our models, prompts, and pipelines current as the underlying tooling and APIs evolve.\n\n3. Brainstorm and prototype with the squads\nPartner with product managers and engineers on new AI use cases, and turn the promising ones into quick, honest prototypes.\n\nBring the evidence - evals, cost estimates, latency numbers - that lets the team decide what's worth shipping and what isn't.\n\nExplain AI trade-offs clearly to non-technical colleagues so decisions get made quickly.\n\n4. Raise the bar on your scope\nDocument what you build and why, so the practice compounds instead of living in one person's head.\n\nCoach the more junior engineers and interns who work with you on AI topics.\n\nTech stack\nLanguages: Python for AI/ML work, TypeScript across the product.\n\nOn-device / SLMs: GGUF models running in-browser via WebLLM and wllama (llama.cpp compiled to WASM), packaged into our browser and desktop connectors.\n\nLLMs & GenAI: OpenAI APIs, retrieval-augmented generation, and embeddings, integrated into Microsoft 365 Copilot, ChatGPT, Gemini, Claude, and internal agents.\n\nML tooling: sentence-transformers, HuggingFace Transformers, scikit-learn, and TensorFlow, served through a Python service.\n\nData: MongoDB and Redis.\n\nInfra & deployment: Azure / AKS with Helm, Docker containers, GitHub Actions CI/CD, Datadog observability.\n\nAI-augmented engineering: Claude Code / Cursor, MCP tooling, and internal AI agents are part of the daily workflow - not a bonus.\n\nThis stack is always evolving, and we're counting on you to help us evolve and improve it.\nRequired skills\nExperience & expertise\n3-5 years in ML / AI engineering, with models or AI features you shipped and then operated in production.\n\nHands-on with LLM fine-tuning, RAG, and embeddings - and with evaluating them (golden sets, LLM-as-judge, regression tests).\n\nExperience monitoring and optimising AI systems in production for cost, latency, and quality.\n\nSolid software engineering fundamentals - tests, CI, observability - you operate what you ship.\n\nComfortable in Python and able to work across a TypeScript product codebase.\n\nExperience with small language models (SLMs) and on-device / on-prem model deployment is a strong plus.\n\nWays of working\nExecution-first: you would rather ship a measured improvement than pitch an ambitious redesign.\n\nPragmatic and product-minded - user impact over technical novelty.\n\nAutonomous on your scope, and clear about when to escalate an architecture or cost decision.\n\nExcellent command of French and English, both technical and professional.\n\nMindset\nNatural rigor and a feel for evaluation-driven development.\n\nGenuine curiosity for a fast-moving AI landscape - without chasing hype.\n\nStrong team spirit and a sense of priorities in a fast-moving scale-up.\n\nAlignment with our values: Learning, Innovation, Excellence, Kindness, Transparency.\n\nWhat we offer\nCompetitive package: €56,000-€65,000 gross annual package (base + 8% target variable) depending on step, plus BSPCE (equity) under our Series A policy.\n\nReal impact: the models you train and the features you maintain run for 100+ enterprise clients.\n\nReal AI, not slides: proprietary on-device models, production RAG, and a codebase where AI is already shipped - you'll work on it, not argue for it.\n\nA learning environment: a team passionate about new technologies and generative AI.\n\nA stimulating workplace: a young, supportive culture where everyone helps each other.\n\nFlexibility: a hybrid 2-day/3-day remote model.\n\nMeaningful mission: helping make AI accessible and impactful for everyone.","description_format":"text","description_chars":6505,"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":[{"language":"French","level":"All levels","optional":false}]},"benefits":["Equity"],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-17T02:34:22Z"}],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.286,"p_room":0.945,"age_days":8,"expected_fill_days":17,"reasons":["conf:0","agency","stale_co","win:mid"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":75021,"is_top_pay":false},"html_url":"https://alion.io/job/mendo-ai-engineer","json_url":"https://alion.io/job/mendo-ai-engineer.json","meta":{"generated_at":"2026-09-24T06:49:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}