Senior AI Engineer - Poland
RemotePoland
Job Summary
Design, develop, and optimize machine learning models, LLM-based features, and agentic workflows that enhance the core capabilities of the SaaS platform. Build and refine solutions using large language models, including prompt design, retrieval-augmented generation, tool-use, and multi-agent orchestration. Partner with data engineering teams to construct robust data pipelines supporting model training, fine-tuning, and evaluation. Contribute to AI infrastructure design, overseeing production deployment, orchestration, monitoring, and continuous learning pipelines. Evaluate model performance using clear metrics to fine-tune for accuracy, latency, cost, and reliability. Implement guardrails and evaluation frameworks to ensure safe, predictable, and transparent AI behavior in production. Work with senior engineers and product teams to translate business requirements into technical solutions, while mentoring junior engineers and data scientists. Tackle complex challenges spanning natural language processing, recommendation systems, and agentic automation.
Required Qualifications
- Bachelor's degree in computer science, Data Science, Engineering, or a related field, or equivalent practical experience
- 5+ years of experience building and deploying machine learning or AI systems in production
- Strong programming skills in TypeScript/JavaScript, with the ability to build and integrate AI/ML functionality within a TypeScript-based product stack
- Working knowledge of Python for ML workflows (model training, fine-tuning, and experimentation)
- Hands-on experience working with large language models, including prompt engineering, RAG, or fine-tuning
- Solid understanding of core machine learning concepts, model evaluation, and MLOps practices
- Experience designing and maintaining data pipelines for model training and inference
- Strong problem-solving skills and the ability to lead AI projects from concept through deployment
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
Desired Qualifications
- Experience with Node.js AI/ML libraries and frameworks (e.g., TensorFlow.js, ONNX Runtime, LangChain.js)
- Experience with Python ML frameworks such as PyTorch or TensorFlow
- Experience building agentic AI systems or multi-agent workflows
- Familiarity with tool-calling standards or protocols for connecting LLMs to external systems (e.g., MCP-style integrations)
- Experience with vector databases and semantic search for retrieval-augmented applications
- Background working with SAP or enterprise order management systems
- Experience with cloud AI infrastructure (AWS, Azure, or GCP) and model-serving platforms
- Familiarity with responsible AI practices, including bias evaluation, guardrails, and observability tooling
- Prior experience mentoring engineers or leading a small technical team
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