AI Engineer

Mindbox is a tech-driven company connecting top IT talents with technology projects for leading enterprises across Europe. The company focuses on consulting, engineering, and talent to build meaningful digital solutions.

• Strong software engineering background with full-stack delivery experience.
• Backend experience with Python and/or Java/Node.js, REST/GraphQL APIs, and microservices.
• Frontend experience with React/TypeScript or an equivalent modern framework.
• Familiarity with AI/ML, including LLMs, embeddings, and RAG pipelines.
• Experience with SQL and document stores/search technologies such as Elasticsearch and vector databases.
• Hands-on knowledge of Docker, Kubernetes, and at least one cloud platform (Azure, AWS, or GCP).
• Proficiency in DevOps practices including CI/CD, Infrastructure as Code (Terraform), and monitoring/logging tools.
• Strong understanding of secure coding and OWASP principles.

Nice-to-have:

• Experience with agentic workflows and orchestration frameworks.
• Knowledge of model governance, explainability, and responsible AI controls.
• Background in building developer platforms or reusable AI components.
• Prior exposure to regulated environments such as financial services.

• Develop and maintain full-stack AI applications including web UI, backend services, and AI/ML components.
• Build LLM-enabled services such as prompting, RAG, tool/function calling, evaluation, and guardrails.
• Create and integrate APIs and microservices with enterprise systems and data sources.
• Implement data pipelines for ingestion, transformation, and retrieval, including vector stores.
• Craft front-end experiences for AI features like chat, copilots, workflow assistants, and dashboards.
• Manage and enforce MLOps/LLMOps best practices including CI/CD, model/version management, and monitoring.
• Define and execute testing strategies including unit, integration, offline evaluations, and performance testing.
• Optimize solutions for latency, cost, and reliability using modern engineering strategies.
• Ensure security, privacy, and compliance-by-design in every solution.
• Collaborate cross-functionally with UX, data, and product teams to deliver measurable results.

#LI - Hybrid: 2x/week from the office in Kraków