{"id":1231712,"url":"https://alion.io/job/appfollow-senior-ai-engineer-product-neuro-forge-team","title":"Senior AI Engineer (Product Neuro Forge Team)","company":{"id":1865533,"name":"AppFollow","domain":"appfollow.io","url":"https://alion.io/company/appfollow","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["FI"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":152000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1271},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Anthropic","optional":false},{"name":"Asyncio","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Mistral","optional":false},{"name":"MySQL","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"PEFT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qwen","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"LangGraph","optional":true},{"name":"MLFlow","optional":true},{"name":"pgvector","optional":true},{"name":"Prefect","optional":true},{"name":"RabbitMQ","optional":true},{"name":"TGI","optional":true},{"name":"Transformers","optional":true},{"name":"Triton","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-08-25T14:29:05Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-09-25T15:06:32Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"AppFollow is an App review management and ASO platform.\nAppFollow is an app review management and ASO platform. Our main goal is to ease the everyday routines of app developers, product managers, marketing teams, customer support, etc. AppFollow helps you gather and manage your apps and games data, increase app average rating, improve app store rankings, and app user loyalty.\nRatings and reviews are our core data, and AI is how we turn them into value for our customers, helping them automate routine work with user feedback and save time: feedback categorization, review summarization, AI-generated replies, semantic search, anomaly detection, and conversational insights.\nThis fully remote role is for a Senior AI Engineer who will drive these capabilities end-to-end, from research and prototyping to production. You'll work with both commercial LLMs and open-source models, build training and evaluation pipelines, and ship ML-powered features used worldwide by app and game teams, as well as anyone working with digital user feedback. This is an applied engineering role at heart: your models won't stay in notebooks. Together with our backend team, you'll also develop the product functionality, services, and APIs around them.\nAbout the Role\nOwn AI/ML features end-to-end: research, prototype, production, monitoring and iteration\nDesign and build LLM-powered features on top of reviews and ratings data: feedback categorization, summarization, reply generation, semantic search, anomaly detection, conversational and agentic scenarios\nWork with commercial LLM APIs (OpenAI, Anthropic, Google) as well as open-source models (Llama, Mistral, Qwen, etc.): model selection, adaptation, fine-tuning, and deployment\nBuild and maintain pipelines for model training, fine-tuning, and quality evaluation: datasets, metrics, offline evals, LLM-as-a-judge, A/B tests\nDevelop RAG and semantic search capabilities: embeddings, vector storage, retrieval quality\nOptimize quality, latency, and cost of LLM inference in production\nTrack state-of-the-art in NLP/LLM, run experiments and POCs, and turn the promising ones into product features\nDevelop and optimize AppFollow product functionality beyond ML: services and internal and public APIs to core data entities (apps, reviews, ratings)\nIntegrate new features with the existing system, including legacy services, and collaborate with the Platform team to deploy to various environments and ensure smooth operation\nContribute with other developers to the overall system architecture; design, build, and document an efficient, testable, reliable, secure, and scalable codebase\nAbout you\n5+ years of software development experience; strong production Python (asyncio)\n3+ years of hands-on ML/NLP experience with models shipped to production\nPractical experience with LLMs: prompt engineering, RAG, fine-tuning open-source models (LoRA/PEFT), working with both commercial APIs and self-hosted models\nExperience building model quality evaluation processes: metrics, eval datasets and pipelines, A/B testing\nConfidence with the PyTorch and Hugging Face ecosystem (transformers, datasets, PEFT)\nProficiency in FastAPI for API development\nStrong SQL skills (MySQL or PostgreSQL), experience with ORM frameworks (preferably SQLAlchemy)\nExperience with unit testing (pytest)\nUpper-intermediate English or higher\nIt would be nice to have\nExperience serving open-source LLMs in production (vLLM, TGI, Triton) and working with GPU infrastructure\nExperience with vector databases (e.g. pgvector)\nExperience with agentic and orchestration frameworks (LangChain, LangGraph) and eval/observability tooling (MLflow, Langfuse)\nExperience with data processing pipelines and automation (e.g. Airflow, Prefect)\nExperience with cloud-based services (AWS), NoSQL databases (MongoDB), message brokers (RabbitMQ, Kafka)\nClassical ML/NLP background (text classification, clustering, topic modeling)\nOpen-source contributions, publications, or pet ML projects you're proud of\nBenefits we offer\nFull-time remote job. Though you're always welcome to spend time with us in monthly All hands in our hubs: Helsinki, Belgrade, Tbilisi, Batumi, Yerevan\nPaid Vacation and Sick leaves. Take the time you need to stay motivated, charged, and balanced. By prior agreement, you can have days off for special occasions\nGenerous social benefits package including health insurance, equipment reimbursement, home office moderation bonus, and many more\nStock options bonus according to the employee stock ownership plan\nYou'll have executive-level visibility into how the company is run and performing. We are always ready to provide dedicated support and fast-track your onboarding, including giving you the tools you need to be successful.\nThe biggest benefit is our awesome AppFollow team. We're a team of open-minded and friendly high-skilled professionals that enjoy creating a great product, growing together, and supporting each other.\nJump on the board!\nHiring process\n\nHR screening interview - 15 min\nBackend Technical interview - 90 min\nML Technical interview - 90 min\nCulture fit interview - 60 min\nRecommendations check\nExpected timeline: 2-4 weeks from application to offer.\nHint\nWant to increase your chances? Please ensure your LinkedIn profile is complete, up to date, and accurately reflects your experience before submitting your application.","description_format":"text","description_chars":5365,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Health insurance","Home office","Stock options"],"hiring_locations":[{"name":"Finland","iso":"FI","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Customer & Retention Analytics","Digital Marketing","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-09-25T15:06:32Z"}],"liveness":{"score":50,"band":"ok","label":"Likely open","p_open":1,"p_active":0.662,"p_room":0.75,"age_days":31,"expected_fill_days":34,"reasons":["conf:11","win:late"],"computed_at":"2026-09-26T03:04:40Z"},"pay":null,"html_url":"https://alion.io/job/appfollow-senior-ai-engineer-product-neuro-forge-team","json_url":"https://alion.io/job/appfollow-senior-ai-engineer-product-neuro-forge-team.json","meta":{"generated_at":"2026-09-26T03:04:40Z","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":3284,"day_limit":5000,"remaining_today":1716,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}