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описание
Intellias provides technology services and develops digital products and solutions. Its teams create features and modernize services and products for millions of customers.
задачи
Build and operate production-grade AI services and backend applications in Python;
Design and implement LLM-powered workflows, including prompt design, context management, structured outputs, and tool calling;
Define robust contracts for APIs and AI outputs;
Test, evaluate, and improve AI services through automated testing, prompt iteration, and measurable evaluation approaches;
Implement safety and reliability controls such as validation, guardrails, fallbacks, and error handling;
Monitor and improve production systems using logs, metrics, traces, and AI observability tooling;
Work closely with engineers, product owners, and domain stakeholders to turn ambiguous use cases into production-ready solutions;
Continuously improve systems through model upgrades, prompt iteration, and operational optimisation.
требования
Strong Python and backend engineering skills for building production-grade services and APIs;
Proven experience developing and shipping LLM-powered applications in production;
Strong understanding of prompt engineering, structured outputs, context management, and tool calling;
Experience integrating foundation models and LLM platforms such as Azure OpenAI, OpenAI, or Bedrock;
Strong experience in API design, testing, deployment discipline, observability, evaluation, and failure handling;
Solid practical understanding of AI safety, reliability, and evaluation, including guardrails, fallback patterns, and output validation;
A pragmatic approach to solving messy real-world problems with clean, maintainable systems;
Curious, delivery-focused, and comfortable working in a fast-moving technical landscape;
Nice to have: Experience designing and operating LLM systems with orchestration frameworks such as LangChain, MCP, RAG, and Graph databases; familiarity with Infrastructure as Code and performance testing for production APIs; experience working with Java or Kotlin; ability to prototype and experiment quickly using Streamlit and Jupyter notebooks; background in applied NLP tasks such as classification or PII detection.
условия
Poland and Ukraine;
Equal opportunity employment with consideration for applicants without discrimination based on protected characteristics.
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