Senior AI Backend Engineer (Product Neuro Forge Team)
AppFollow· Engineering
Hybrid (EU-remote)Remote, full-timePosted 1mo ago
About the role
Senior AI Backend Engineer role focused on end-to-end AI/ML features for AppFollow's reviews and ratings data, building LLM-powered capabilities, integrating multiple models, and delivering production-ready services and APIs.
Responsibilities
- Own AI/ML features end-to-end: 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
- Develop and optimize AppFollow product functionality beyond ML: services and internal and public APIs to core data entities (apps, reviews, ratings)
- Contribute with other developers to the overall system architecture; design, build, and document an efficient, testable, reliable, secure, and scalable codebase
- Develop RAG and semantic search capabilities: embeddings, vector storage, retrieval quality
- Optimize quality, latency, and cost of LLM inference in production
- Build and maintain pipelines for quality evaluation: datasets, metrics, offline evals, LLM-as-a-judge, A/B tests; where it pays off, also for model training and fine-tuning
- 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
- 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
- Track state-of-the-art in NLP/LLM, run experiments and POCs, and turn the promising ones into product features
Qualifications
- 5+ years of software development experience; strong production Python (asyncio)
- Proficiency in FastAPI for API development
- Strong SQL skills (MySQL or PostgreSQL), experience with ORM frameworks (preferably SQLAlchemy)
- Experience with unit testing (pytest)
- 3+ years of hands-on ML/NLP experience with models shipped to production; integrating, serving, and evaluating models counts, not only training them
- Practical experience with LLMs: prompt engineering, RAG, working with both commercial APIs and self-hosted models
- Experience building model quality evaluation processes: metrics, eval datasets and pipelines, A/B testing
- Working knowledge of PyTorch and the Hugging Face ecosystem (transformers, datasets)
- Upper-intermediate English or higher
Skills
Required:Python (production)FastAPISQL (MySQL/PostgreSQL)Unit testingML/NLP in productionLLMs and RAGPyTorch / Hugging Face
Benefits
- Full-time remote job
- Monthly All hands in hubs: Helsinki, Belgrade, Tbilisi, Batumi, Yerevan
- Paid Vacation and Sick leaves
- 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
- Executive-level visibility into company performance and fast-track onboarding
Last updated Oct 23, 2026. Interested? Apply on the company site.
About AppFollow
Never miss user feedback again with AI-powered reputation management
#1 tools for managing app store reviews and ratings. Analyze user feedback, respond to reviews, automate workflows, grow app visibility for iOS, Android, Amazon, Huawei.
reviews managementapp store optimizationASOautomationsfeedback analysismarket insights