Senior AI Engineer (Product Neuro Forge Team)

Location: EU only, fully remote. Monthly all-hands are available in hubs in Helsinki, Belgrade, Tbilisi, Batumi, and Yerevan.

Company

hirify.global is an app review management and ASO platform that helps app and game teams manage feedback, improve ratings and app store rankings, and increase user loyalty.

What you will do

• Own AI and ML features from research and prototyping through production, monitoring, and iteration.
• Build LLM-powered capabilities for feedback categorization, summarization, reply generation, semantic search, anomaly detection, and conversational or agentic scenarios.
• Work with commercial APIs from OpenAI, Anthropic, and Google, as well as open-source models such as Llama, Mistral, and Qwen.
• Build training, fine-tuning, and quality evaluation pipelines with datasets, metrics, offline evaluations, LLM-as-a-judge, and A/B testing.
• Develop RAG and semantic search systems using embeddings, vector storage, and retrieval-quality optimization.
• Collaborate with backend, product, and platform teams on secure, testable code and overall system architecture.

Requirements

• Must be based in the EU for this remote role.
• 5+ years of software development experience with strong production Python and asyncio skills.
• 3+ years of hands-on ML/NLP experience with models shipped to production.
• Practical experience with LLMs, including prompt engineering, RAG, fine-tuning open-source models with LoRA/PEFT, and commercial and self-hosted model deployment.
• Experience with PyTorch, Hugging Face Transformers, Datasets and PEFT, FastAPI, SQL, ORM frameworks such as SQLAlchemy, and pytest.
• Upper-intermediate English or higher.

Nice to have

• Production serving of open-source LLMs with vLLM, TGI, or Triton, plus GPU infrastructure experience.
• Experience with vector databases such as pgvector, agentic frameworks such as LangChain or LangGraph, and evaluation or observability tools such as MLflow or Langfuse.
• Experience with Airflow or Prefect, AWS, MongoDB, RabbitMQ, Kafka, or classical ML/NLP.
• Open-source contributions, publications, or personal ML projects.

Culture & Benefits

• Fully remote, full-time work with optional monthly all-hands at company hubs.
• Paid vacation and sick leave, with additional days off for special occasions by prior agreement.
• Health insurance, equipment reimbursement, and a home office moderation bonus.
• Stock options under the employee stock ownership plan.
• Dedicated onboarding support, executive-level visibility, and a friendly, collaborative team environment.

Hiring process

• 15-minute HR screening interview.
• 90-minute backend technical interview, 90-minute ML technical interview, and 60-minute culture fit interview.
• Recommendations check; the expected timeline from application to offer is 2–4 weeks.