AI Engineer
⚲ Kraków
28 350 - 29 400 PLN (B2B)
Wymagania
- Python
- Java
- Node.js
- REST API
- GraphQL
- Microservices
- React
- TypeScript
- AI
- SQL
- Elasticsearch
- Docker
- Kubernetes
- Cloud platform
- AWS
- GCP
- DevOps
- IaC
- Terraform
- OWASP (nice to have)
Opis stanowiska
O projekcie:
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
You will design, build, and ship end-to-end AI-powered products, working on every layer from data/API integration and model enablement to secure, scalable front-end applications. The initial focus will be building a skill inventory to streamline AI project development based on best practices.
Sounds like your kind of challenge?
#LI - Hybrid: 2x/week from the office in Kraków
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.)
- Hybrid work setup – 2x/week from the office in Kraków
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Wymagania:
- Strong software engineering background with full-stack delivery experience.
- Backend: Python and/or Java/Node.js, REST/GraphQL APIs, microservices.
- Frontend: React/TypeScript (or an equivalent modern framework).
- Familiarity with AI/ML, including LLMs, embeddings, RAG pipelines.
- SQL and experience with document stores/search (e.g., Elasticsearch, vector DBs).
- Hands-on knowledge of Docker, Kubernetes, and one cloud platform (Azure, AWS, or GCP).
- Proficiency in DevOps: CI/CD, IaC (Terraform), 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 (e.g., financial services).
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Codzienne zadania:
- Develop and maintain full-stack AI applications (web UI, backend services, AI/ML components).
- Build LLM-enabled services: prompting, RAG, tool/function calling, evaluation, 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, dashboards.
- Manage and enforce MLOps/LLMOps best practices (CI/CD, model/version management, monitoring).
- Define and execute testing strategies: unit, integration, offline evals, performance testing.
- Optimize 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.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
You will design, build, and ship end-to-end AI-powered products, working on every layer from data/API integration and model enablement to secure, scalable front-end applications. The initial focus will be building a skill inventory to streamline AI project development based on best practices.
Sounds like your kind of challenge?
#LI - Hybrid: 2x/week from the office in Kraków
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.)
- Hybrid work setup – 2x/week from the office in Kraków
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Wymagania:
- Strong software engineering background with full-stack delivery experience.
- Backend: Python and/or Java/Node.js, REST/GraphQL APIs, microservices.
- Frontend: React/TypeScript (or an equivalent modern framework).
- Familiarity with AI/ML, including LLMs, embeddings, RAG pipelines.
- SQL and experience with document stores/search (e.g., Elasticsearch, vector DBs).
- Hands-on knowledge of Docker, Kubernetes, and one cloud platform (Azure, AWS, or GCP).
- Proficiency in DevOps: CI/CD, IaC (Terraform), 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 (e.g., financial services).
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Codzienne zadania:
- Develop and maintain full-stack AI applications (web UI, backend services, AI/ML components).
- Build LLM-enabled services: prompting, RAG, tool/function calling, evaluation, 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, dashboards.
- Manage and enforce MLOps/LLMOps best practices (CI/CD, model/version management, monitoring).
- Define and execute testing strategies: unit, integration, offline evals, performance testing.
- Optimize 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.
🔍 Dekoder Ogłoszenia
🔴
design, build, and ship end-to-end AI-powered products, working on every layer from data/API integration and model enablement to secure, scalable front-end applications
Oznacza to, że będziesz odpowiedzialny za cały cykl życia produktu AI, od początkowej koncepcji po wdrożenie i utrzymanie, co może być bardzo szerokim zakresem obowiązków.
🔴
The initial focus will be building a skill inventory to streamline AI project development based on best practices.
Pierwsze zadanie może być bardziej związane z organizacją i dokumentacją niż z bezpośrednim tworzeniem zaawansowanych modeli AI, co może być rozczarowujące dla kogoś szukającego czystego ML.
🟡
Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
Chociaż elastyczność jest dobra, często oznacza to preferencję pracodawcy dla modelu B2B, który niesie ze sobą inne obowiązki i ryzyko dla pracownika.
🟡
Collaborative team culture – work alongside experienced professionals eager to share knowledge
Może oznaczać, że zespół jest mały i wszyscy muszą sobie pomagać, co jest pozytywne, ale może też sugerować, że brakuje dedykowanych ekspertów w poszczególnych dziedzinach.
🔴
Strong software engineering background with full-stack delivery experience.
Choć wymagane są umiejętności AI/ML, nacisk na 'strong software engineering background' i 'full-stack delivery' może sugerować, że rola bardziej skupia się na budowaniu aplikacji wokół AI, a nie na głębokim badaniu i tworzeniu samych modeli.