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
