AI Engineer
⚲ Kraków, Grzegórzki
Do uzgodnienia
Wymagania
- TypeScript
- Python
- Java
- Node.js
- SQL
Opis stanowiska
Nasze wymagania:
Proven software engineering experience with a focus on full-stack development.
Backend: Strong proficiency in Python and/or Java/Node.js, REST/GraphQL APIs, microservices, and event-driven architectures.
Frontend: Hands-on experience with React/TypeScript (or similar modern frameworks), component-based design, and state management.
AI/ML: Practical experience with LLMs, embeddings, RAG, and model evaluation techniques.
Data: Expertise in SQL and experience with document stores/search engines (e.g., Elasticsearch/OpenSearch) and/or vector databases.
Cloud & Containers: Experience with Docker, Kubernetes, and at least one major cloud platform (Azure, AWS, or GCP).
DevOps: Knowledge of CI/CD pipelines, infrastructure-as-code (e.g., Terraform), and monitoring/logging tools (e.g., OpenTelemetry).
Security: Familiarity with secure coding practices, OWASP principles, and authentication/authorization frameworks.
Mile widziane:
Experience with agentic workflows, orchestration frameworks, and multi-tool integration.
Understanding of model governance, explainability, and responsible AI practices.
Experience building internal developer platforms or reusable AI components.
Background in highly regulated industries, such as financial services.
O projekcie:
Application Platform will embed technology, cyber, and data controls into its services, ensuring compliance while streamlining operations. We need a Business Analyst to analyze controls, collaborate with stakeholders, and design automated solutions that integrate seamlessly into our platform ecosystem.
Zakres obowiązków:
Design, build, and maintain full-stack AI applications, including modern web interfaces (React/TypeScript), backend services, and AI/ML components.
Develop and operate LLM-enabled services, implementing prompting, RAG (Retrieval-Augmented Generation), tool/function calling, evaluation frameworks, and guardrails.
Build APIs and microservices to seamlessly integrate AI models with enterprise systems and data sources.
Implement data pipelines for ingestion, transformation, indexing (e.g., vector databases), and retrieval.
Create intuitive front-end experiences for AI-driven features like chatbots, copilots, workflow assistants, and dashboards.
Establish MLOps/LLMOps practices, including CI/CD pipelines, model versioning, monitoring, and quality checks for drift and performance.
Define and execute comprehensive testing strategies, including unit/integration tests, offline evaluations, red-teaming, and performance benchmarking.
Optimize systems for latency, cost-efficiency, and reliability using caching, batching, asynchronous processing, and observability tools.
Ensure security, privacy, and compliance-by-design, including access controls, data governance, and audit trails.
Collaborate closely with cross-functional teams—product managers, UX designers, data scientists, and risk specialists—to deliver measurable business value.
Oferujemy:
Hybrid work from Kraków
A full-time contract with possibility to choose the form of employment (UoP/B2B)
Stable and long-term cooperation
Support of a dedicated manager and Career Managment team
A clearly defined career path and the possibility of development in four areas as: Project Manager, Business Manager, Technical Leader and a specialist in their field.
Participation in company conferences, trainings, workshops, integration meetings, etc.
Certification and training opportunities
Opportunity to relocate and work in different ALTEN Polska branches
Proven software engineering experience with a focus on full-stack development.
Backend: Strong proficiency in Python and/or Java/Node.js, REST/GraphQL APIs, microservices, and event-driven architectures.
Frontend: Hands-on experience with React/TypeScript (or similar modern frameworks), component-based design, and state management.
AI/ML: Practical experience with LLMs, embeddings, RAG, and model evaluation techniques.
Data: Expertise in SQL and experience with document stores/search engines (e.g., Elasticsearch/OpenSearch) and/or vector databases.
Cloud & Containers: Experience with Docker, Kubernetes, and at least one major cloud platform (Azure, AWS, or GCP).
DevOps: Knowledge of CI/CD pipelines, infrastructure-as-code (e.g., Terraform), and monitoring/logging tools (e.g., OpenTelemetry).
Security: Familiarity with secure coding practices, OWASP principles, and authentication/authorization frameworks.
Mile widziane:
Experience with agentic workflows, orchestration frameworks, and multi-tool integration.
Understanding of model governance, explainability, and responsible AI practices.
Experience building internal developer platforms or reusable AI components.
Background in highly regulated industries, such as financial services.
O projekcie:
Application Platform will embed technology, cyber, and data controls into its services, ensuring compliance while streamlining operations. We need a Business Analyst to analyze controls, collaborate with stakeholders, and design automated solutions that integrate seamlessly into our platform ecosystem.
Zakres obowiązków:
Design, build, and maintain full-stack AI applications, including modern web interfaces (React/TypeScript), backend services, and AI/ML components.
Develop and operate LLM-enabled services, implementing prompting, RAG (Retrieval-Augmented Generation), tool/function calling, evaluation frameworks, and guardrails.
Build APIs and microservices to seamlessly integrate AI models with enterprise systems and data sources.
Implement data pipelines for ingestion, transformation, indexing (e.g., vector databases), and retrieval.
Create intuitive front-end experiences for AI-driven features like chatbots, copilots, workflow assistants, and dashboards.
Establish MLOps/LLMOps practices, including CI/CD pipelines, model versioning, monitoring, and quality checks for drift and performance.
Define and execute comprehensive testing strategies, including unit/integration tests, offline evaluations, red-teaming, and performance benchmarking.
Optimize systems for latency, cost-efficiency, and reliability using caching, batching, asynchronous processing, and observability tools.
Ensure security, privacy, and compliance-by-design, including access controls, data governance, and audit trails.
Collaborate closely with cross-functional teams—product managers, UX designers, data scientists, and risk specialists—to deliver measurable business value.
Oferujemy:
Hybrid work from Kraków
A full-time contract with possibility to choose the form of employment (UoP/B2B)
Stable and long-term cooperation
Support of a dedicated manager and Career Managment team
A clearly defined career path and the possibility of development in four areas as: Project Manager, Business Manager, Technical Leader and a specialist in their field.
Participation in company conferences, trainings, workshops, integration meetings, etc.
Certification and training opportunities
Opportunity to relocate and work in different ALTEN Polska branches
🔍 Dekoder Ogłoszenia
🟡
Proven software engineering experience with a focus on full-stack development.
Oczekuje się, że kandydat ma solidne doświadczenie w tworzeniu oprogramowania, obejmujące zarówno backend, jak i frontend, co może oznaczać potrzebę wszechstronności.
🔴
Practical experience with LLMs, embeddings, RAG, and model evaluation techniques.
Chociaż brzmi to konkretnie, 'praktyczne doświadczenie' może oznaczać zarówno głębokie zrozumienie, jak i podstawową znajomość tych technologii.
🔴
Experience with agentic workflows, orchestration frameworks, and multi-tool integration.
To są zaawansowane koncepcje, a 'doświadczenie' może oznaczać zarówno projektowanie od podstaw, jak i integrację istniejących rozwiązań.
🔴
Understanding of model governance, explainability, and responsible AI practices.
Wymagane jest zrozumienie, ale niekoniecznie aktywne wdrażanie tych praktyk, co może być bardziej teoretyczną wiedzą.
🟡
Application Platform will embed technology, cyber, and data controls into its services, ensuring compliance while streamlining operations.
Opis projektu sugeruje silny nacisk na bezpieczeństwo i zgodność z przepisami, co może oznaczać bardziej restrykcyjne procesy i dokumentację.