> DOU
senior
ZFORT GroupAI Engineer
format:Remote
pythonpytorchtensorflowhugging facenlpllmragawspostgresqlelasticsearch
opensearchpineconefaissprompt engineeringreact
> 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.