Senior Full-Stack AI Engineer – Financial Services
⚲ Krakow
27 300 - 32 760 PLN netto (B2B)
Wymagania
- Docker & Kubernetes
- React/TypeScript
- vector databases
- MlOps/LLMOps
- Python/Java/Node.js
- CI/CD & DevOps
- LLMs & RAG patterns
- REST/GraphQL API development
- Cloud platforms (Azure/AWS/GCP)
- Agentic workflows & orchestration
Opis stanowiska
Empower the future of financial technology — revolutionize AI-driven banking solutions!
Krakow-based opportunity with hybrid work model (up to 3 days remote per week).
As a Senior Full-Stack AI Engineer, you will be working for our client, a leading player in the financial services industry, committed to innovation and digital transformation. You will help build and deploy scalable, secure AI-powered products that enhance banking operations and customer experiences.
Your main responsibilities:
• Design, develop, and maintain end-to-end full-stack AI applications, including web UI, backend services, and ML components.
• Develop and operate large language model-enabled services such as prompting, retrieval-augmented generation, tool invocation, and evaluations.
• Build APIs and microservices to seamlessly integrate models with enterprise systems and data sources.
• Implement data pipelines for ingestion, transformation, indexing, and retrieval, including vector stores.
• Create intuitive front-end experiences for AI features like chatbots, copilots, workflows, and dashboards.
• Establish MLOps/LLMOps practices: CI/CD, model/version management, monitoring, and drift detection.
• Define and execute testing strategies: unit, integration, offline evaluations, security red-teaming, and performance testing.
• Optimize AI applications for latency, cost-efficiency, and reliability through caching, batching, and observability.
• Ensure security, privacy, and compliance by design, including access controls and auditability.
• Collaborate with cross-functional teams to deliver measurable outcomes aligned with business goals.
You're ideal for this role if you have:
• At least 5 years of experience in software engineering with full-stack delivery.
• Strong expertise in Python, Java, or Node.js, with API development (REST/GraphQL) and microservices architecture.
• Frontend skills with React or TypeScript, including component design and state management.
• Practical experience working with LLMs, embeddings, RAG patterns, and evaluation techniques.
• Solid knowledge of SQL, document stores/search engines like Elasticsearch or OpenSearch, and vector databases.
• Hands-on experience with Docker, Kubernetes, and cloud platforms such as Azure, AWS, or GCP.
• DevOps expertise including CI/CD pipelines, infrastructure-as-code (Terraform), and monitoring tools (e.g., OpenTelemetry).
• Strong understanding of secure coding principles and OWASP standards.
It is a strong plus if you have:
• Experience with agentic workflows, orchestration frameworks, and tool integrations.
• Knowledge of model governance, explainability, and responsible AI practices.
• Experience developing internal developer platforms or reusable AI components.
• Domain experience within regulated environments like financial services.
Language Required for the role:
• Fluent English communication skills (spoken and written).
Eligibility for the role:
• Only candidates with an existing legal right to work in the European Union will be considered for this role.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.
Krakow-based opportunity with hybrid work model (up to 3 days remote per week).
As a Senior Full-Stack AI Engineer, you will be working for our client, a leading player in the financial services industry, committed to innovation and digital transformation. You will help build and deploy scalable, secure AI-powered products that enhance banking operations and customer experiences.
Your main responsibilities:
• Design, develop, and maintain end-to-end full-stack AI applications, including web UI, backend services, and ML components.
• Develop and operate large language model-enabled services such as prompting, retrieval-augmented generation, tool invocation, and evaluations.
• Build APIs and microservices to seamlessly integrate models with enterprise systems and data sources.
• Implement data pipelines for ingestion, transformation, indexing, and retrieval, including vector stores.
• Create intuitive front-end experiences for AI features like chatbots, copilots, workflows, and dashboards.
• Establish MLOps/LLMOps practices: CI/CD, model/version management, monitoring, and drift detection.
• Define and execute testing strategies: unit, integration, offline evaluations, security red-teaming, and performance testing.
• Optimize AI applications for latency, cost-efficiency, and reliability through caching, batching, and observability.
• Ensure security, privacy, and compliance by design, including access controls and auditability.
• Collaborate with cross-functional teams to deliver measurable outcomes aligned with business goals.
You're ideal for this role if you have:
• At least 5 years of experience in software engineering with full-stack delivery.
• Strong expertise in Python, Java, or Node.js, with API development (REST/GraphQL) and microservices architecture.
• Frontend skills with React or TypeScript, including component design and state management.
• Practical experience working with LLMs, embeddings, RAG patterns, and evaluation techniques.
• Solid knowledge of SQL, document stores/search engines like Elasticsearch or OpenSearch, and vector databases.
• Hands-on experience with Docker, Kubernetes, and cloud platforms such as Azure, AWS, or GCP.
• DevOps expertise including CI/CD pipelines, infrastructure-as-code (Terraform), and monitoring tools (e.g., OpenTelemetry).
• Strong understanding of secure coding principles and OWASP standards.
It is a strong plus if you have:
• Experience with agentic workflows, orchestration frameworks, and tool integrations.
• Knowledge of model governance, explainability, and responsible AI practices.
• Experience developing internal developer platforms or reusable AI components.
• Domain experience within regulated environments like financial services.
Language Required for the role:
• Fluent English communication skills (spoken and written).
Eligibility for the role:
• Only candidates with an existing legal right to work in the European Union will be considered for this role.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.
🔍 Dekoder Ogłoszenia
✓ Ogłoszenie wygląda transparentnie — brak typowych czerwonych flag.