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senior

AI Engineer

ZFORT Group
format:Remote
pythonpytorchtensorflowhugging facenlpllmragawspostgresqlelasticsearch
opensearchpineconefaissprompt engineeringreact
englishB2
experience5+ years
domainSaaS
locationKharkiv, Ukraine
> full description

We are seeking a Senior AI Engineer to develop and deploy AI-powered features for ProVision, with a focus on NLP, machine learning, and LLMs in production SaaS environments.

What You’ll Be Doing

  • Design and implement ML models for document parsing, search, classification, and summarization;
  • Integrate LLMs into product workflows with appropriate evaluation, reliability, and guardrails;
  • Collaborate with engineering, product, and QA teams to deliver AI-driven features;
  • Optimise model serving and inference for performance and cost in AWS;
  • Develop data pipelines for model training and evaluation using PostgreSQL, Redis, Elasticsearch/OpenSearch, and S3;
  • Ensure AI solutions meet scalability, security, and compliance requirements;
  • Contribute to code reviews, documentation, and knowledge sharing.

Must-Have Requirements

  • 5+ years of experience as an AI/ML Engineer or similar role, delivering NLP/ML solutions to production;
  • Strong ML fundamentals and hands-on experience with NLP/ML frameworks such as spaCy, Hugging Face, PyTorch, or TensorFlow;
  • Experience deploying and scaling LLM applications in production, including RAG, fine-tuning, evaluation, and monitoring;
  • Strong Python skills and experience building APIs and integrating AI models into applications;
  • Understanding of distributed systems and AWS, particularly ECS, Lambda, S3, and CloudWatch;
  • Experience building data pipelines for model training, evaluation, and monitoring;
  • Ability to balance accuracy, cost, performance, and interpretability;
  • English B2+ for daily communication.

Preferred Requirements

  • Experience in LegalTech or document-heavy domains;
  • Experience with vector databases and semantic search, such as Elasticsearch, OpenSearch, Pinecone, or FAISS;
  • Knowledge of prompt engineering, fine-tuning, and LLM evaluation;
  • Experience with AI safety, compliance, and explainability;
  • Familiarity with React/TypeScript and AI integration into user-facing applications.

How We Work

  • Agile Scrum teams with CI/CD, IaC, and security-first practices;
  • Requirements are managed in Confluence and Jira.

We offer

  • Maximum flexibility;
  • Professional trainings, conferences and certifications;
  • Corporate events and benefits;
  • Professional literature;
  • English courses.
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