Senior AI Engineer, Product Neuro Forge Team

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🔥 0 minutes ago

🇫🇮 Finland – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AppFollow

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

💰 $5M Series A on 2020-10

Consulting • Marketing • Logistics

AppFollow is a comprehensive app reputation management platform that provides businesses with tools to enhance their app store optimization (ASO) and manage user reviews at scale. By leveraging AI-powered insights and automation, AppFollow enables companies to improve their response times to user feedback, analyze app ratings, and integrate app performance data across multiple services including Slack, Zendesk, and Tableau. The platform supports ASO, review management, and workflow automation, catering to enterprises looking to drive growth and enhance customer satisfaction across various app stores.

📋 Description

• Own AI/ML features end-to-end from research and prototyping through production, monitoring, and iteration • Design and build LLM-powered features using reviews and ratings data, including categorization, summarization, reply generation, semantic search, anomaly detection, conversational scenarios, and agentic scenarios • Work with commercial LLM APIs from OpenAI, Anthropic, and Google, as well as open-source models such as Llama, Mistral, and Qwen • Select, adapt, fine-tune, and deploy models • Build and maintain training, fine-tuning, and quality-evaluation pipelines • Develop datasets, metrics, offline evaluations, LLM-as-a-judge processes, and A/B tests • Develop RAG and semantic search capabilities using embeddings and vector storage • Optimize production LLM inference quality, latency, and cost • Track state-of-the-art NLP/LLM developments, run experiments and proofs of concept, and turn promising results into product features • Collaborate with backend, product, and platform teams • Contribute to overall system architecture • Write efficient, testable, secure, and documented code

🎯 Requirements

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

🏖️ Benefits

• Full-time remote job • Monthly All Hands in company hubs: Helsinki, Belgrade, Tbilisi, Batumi, Yerevan • Paid Vacation and Sick leaves • Days off for special occasions by prior agreement • Health insurance • Equipment reimbursement • Home office moderation bonus • Stock options bonus according to the employee stock ownership plan • Dedicated support and fast-track onboarding • Tools needed to be successful • Supportive, friendly, high-skilled team