---
title: 'Senior AI Engineer (Product Neuro Forge Team) at AppFollow'
canonical: 'https://feeny.ai/job/senior-ai-engineer-product-neuro-forge-team-appfollow-europe-e7816zbw28s0'
type: 'job'
last_seen: '2026-09-12'
---

# Senior AI Engineer (Product Neuro Forge Team) at AppFollow

- **Company:** AppFollow
- **Location:** Europe
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/appfollow/5e85f88c-359e-4ff1-802f-3ad01b73aeb8

## Job description

AppFollow is an App review management and ASO platform. AppFollow 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. Ratings 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. This 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.

## About the Role

Own AI/ML features end-to-end: research, prototype, production, monitoring and iteration Design 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 Work with commercial LLM APIs (OpenAI, Anthropic, Google) as well as open-source models (Llama, Mistral, Qwen, etc.): model selection, adaptation, fine-tuning, and deployment Build and maintain pipelines for model training, fine-tuning, and quality evaluation: datasets, metrics, offline evals, LLM-as-a-judge, A/B tests Develop RAG and semantic search capabilities: embeddings, vector storage, retrieval quality Optimize quality, latency, and cost of LLM inference in production Track state-of-the-art in NLP/LLM, run experiments and POCs, and turn the promising ones into product features Develop and optimize AppFollow product functionality beyond ML: services and internal and public APIs to core data entities (apps, reviews, ratings) Integrate new features with the existing system, including legacy services, and collaborate with the Platform team to deploy to various environments and ensure smooth operation Contribute with other developers to the overall system architecture; design, build, and document an efficient, testable, reliable, secure, and scalable codebase

## About you

5+ years of software development experience; strong production Python (asyncio) 3+ years of hands-on ML/NLP experience with models shipped to production Practical experience with LLMs: prompt engineering, RAG, fine-tuning open-source models (LoRA/PEFT), working with both commercial APIs and self-hosted models Experience building model quality evaluation processes: metrics, eval datasets and pipelines, A/B testing Confidence with the PyTorch and Hugging Face ecosystem (transformers, datasets, PEFT) Proficiency in FastAPI for API development Strong SQL skills (MySQL or PostgreSQL), experience with ORM frameworks (preferably SQLAlchemy)

## Experience with unit testing (pytest)

Upper-intermediate English or higher

It would be nice to have Experience serving open-source LLMs in production (vLLM, TGI, Triton) and working with GPU infrastructure

## Experience with vector databases (e.g. pgvector)

Experience with agentic and orchestration frameworks (LangChain, LangGraph) and eval/observability tooling (MLflow, Langfuse) Experience with data processing pipelines and automation (e.g. Airflow, Prefect) Experience with cloud-based services (AWS), NoSQL databases (MongoDB), message brokers (RabbitMQ, Kafka) Classical ML/NLP background (text classification, clustering, topic modeling) Open-source contributions, publications, or pet ML projects you're proud of

## Benefits we offer

Full-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 Paid 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 Generous social benefits package including health insurance, equipment reimbursement, home office moderation bonus, and many more Stock options bonus according to the employee stock ownership plan You'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.

The 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. Jump on the board!

Hiring process HR screening interview — 15 min Backend Technical interview — 90 min ML Technical interview — 90 min Culture fit interview — 60 min Recommendations check Expected timeline: 2–4 weeks from application to offer.

Hint Want to increase your chances? Please ensure your LinkedIn profile is complete, up to date, and accurately reflects your experience before submitting your application.

How To Recognise And Avoid Employment Scams

We’ve noticed an increase in fake job postings and fake job offers aimed at gathering personal information. Be aware that all official AppFollow recruitment emails come exclusively from an @appfollow.io domain. Our interviews are conducted either over video calls or in person; we never conduct interviews via text or chat. If you’re unsure about the legitimacy of a job offer or opportunity from AppFollow, please reach out directly to us at people@appfollow.io for verification.

## About AppFollow

## Company Overview
- **One-liner**: AppFollow provides an AI-powered reputation management and app store optimization (ASO) platform that helps businesses monitor, analyze, and respond to user feedback across app stores and review sites.
- **Entity Type**: Private – Series A funded
- **Headquarters**: Helsinki, Finland
- **Founded**: 2015
- **Founders**: Anatoly Sharifulin (CEO), Pavel Vlasov (CTO), Eugene Kruglov (COO)

## Core Business
- **Primary industry/industries**: Mobile app ecosystem, SaaS, AI-driven customer feedback management, ASO (App Store Optimization)
- **Target customers**: B2B – app developers, product teams, customer support, marketing, and enterprise teams in gaming, finance, e-commerce, and other verticals
- **Mission/purpose**: Help businesses hear the voice of their customers everywhere – turning user feedback into measurable results like higher ratings, better conversion, and organic growth.

## Products & Services
- **AppFollow Platform (AI-Powered Reputation Management)**: Centralized inbox for reviews and feedback from Google Play, App Store, Mac App Store, Microsoft Store, Samsung Galaxy Store, Huawei AppGallery, Trustpilot, Steam, and more. Features include AI semantic analysis, sentiment tracking, auto-tagging, AI-generated responses, and workflow automation.
- **ASO Tools**: Keyword tracking, competitor monitoring, ranking analytics, and market intelligence to improve organic visibility and conversion rates.
- **AI Agentic Workflows**: Automated reply generation in brand voice, spam detection, and alerting via Slack, Zendesk, Tableau, webhooks, etc.
- **AppFollow MCP & AI Toolkit**: API and no-code access to app reviews, ratings, and ASO data for custom analysis workflows.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Annual Revenue of $5M (latest year); Total funding of ~$6.1M (Pre-seed, Seed, Series A); 65 employees (+9% YoY).
- **Notable Investors/Partners**: Investors include Vendep Capital (Seed lead), Nauta Capital (Series A lead); customers include Easy Brain, Wargaming, Lazada, G5, Gameloft, Indeed, Standard Bank, Opera. Partners include App Store Connect, Google Play Console, Trustpilot, Steam, Zendesk, Slack.
- **Growth Signals**: 215K+ users, 100K+ tracked apps, 300M+ analyzed reviews, 12M+ replies sent, 450+ hours saved per client via AI (claimed). Remote-first with 60+ people across 25 countries.

## Competitive Advantages
- All-in-one reputation management & ASO platform vs. point solutions.
- AI agentic workflows that automate review responses at scale, reducing human effort.
- Deep integration with all major app stores and feedback platforms.
- Established track record since 2015 with enterprise-grade reliability (99.5% uptime).
- Strong focus on data privacy and enterprise security.

## Strategic Focus
- Expanding AI capabilities (agentic workflows, MCP toolkit), adding more feedback sources (Steam, new marketplaces), and scaling enterprise sales.
- Helping clients achieve 4.5+ star ratings and higher organic visibility through data-driven ASO.
- Maintaining agility as a bootstrapped-friendly but venture-backed SaaS company.

## Why Work Here
- **Culture**: Remote-first, multicultural team (60+ people from 25+ countries); emphasis on diversity, inclusion, work-life balance (Employer Rating 3.8/5 with Work-Life 4.6/5).
- **Remote/Hybrid Policy**: Fully remote – work from anywhere with stable internet; optional office in Helsinki.
- **Notable Perks**: Bi-annual hackathons, “customer-centric” culture, open to all genders and backgrounds; “welcoming and supportive workplace”.
- **Engineering Culture**: High-skill professionals, flat hierarchy, focus on continuous product improvement; senior roles like Senior QA Automation Engineer and ASO Product Builder are actively hiring.

## Sources
1. [jobs.lever.co](https://jobs.lever.co/appfollow)
2. [linkedin.com](https://linkedin.com/company/appfollow)
3. [appfollow.io](https://appfollow.io/)
4. [appfollow.io/about](https://appfollow.io/about)
5. [appfollow.io/team](https://appfollow.io/team)

## Other roles at AppFollow

- [Senior Product Marketing Manager](https://feeny.ai/job/senior-product-marketing-manager-appfollow-europe-273zaszxx4c2) — Europe
- [Customer Success Manager (Europe)](https://feeny.ai/job/customer-success-manager-europe-appfollow-europe-qge05q50qtby) — Europe