Senior AI Fullstack Engineer

AI Fullstack Engineer

Poland

ABOUT US

Capco is seeking experienced and motivated AI Engineers to help design build and deploy AI-enabled solutions for clients in the financial services industry.

SCOPE OF SERVICES

AI Solution Delivery

• Design develop test and deploy AI-enabled applications and services.
• Build solutions using large language models machine learning retrieval-augmented generation semantic search and agentic AI patterns where appropriate.
• Translate client business problems into technical designs implementation plans and working software.
• Develop reusable AI components APIs prompts workflows and evaluation approaches.
• Ensure AI solutions are scalable reliable secure and suitable for production use.

Data Knowledge and Retrieval Engineering

• Work with structured and unstructured data sources to support AI-enabled discovery reasoning and decision support.
• Build or integrate search retrieval ranking and knowledge management capabilities.
• Develop approaches that help AI systems understand business context data assets metadata documentation and other enterprise knowledge sources.
• Improve the quality relevance traceability and explainability of AI-generated outputs.
• Collaborate with data engineering and platform teams to ensure AI solutions are well integrated with existing data ecosystems.

Technical Expertise

• Apply strong programming skills particularly in Python to build robust AI and data-driven applications.
• Use modern AI frameworks cloud services APIs and development tools to deliver production-grade solutions.
• Implement testing monitoring logging evaluation and performance optimization for AI workflows.
• Support integration with cloud-native data and AI platforms preferably Google Cloud Platform.
• Apply established software engineering practices including version control CI/CD documentation and code review.

QUALIFICATIONS

• Bachelors or Masters degree in Computer Science Engineering Data Science Mathematics Statistics or a related field.
• 3 years of experience in AI engineering software engineering or machine learning engineering.
• Strong programming skills in Python.
• Practical experience building AI applications ideally including large language models or generative AI.
• Experience with modern AI engineering patterns such as retrieval-augmented generation embeddings semantic search prompt engineering model evaluation or agent-based workflows.
• Strong understanding of software engineering principles APIs data structures testing and production deployment.
• Experience working with cloud platforms preferably Google Cloud Platform; experience with AWS or Azure is also valuable.
• Experience with MLOps LLMOps CI/CD automated testing monitoring and model evaluation frameworks.
• Ability to work with structured and unstructured data including metadata documentation logs or enterprise knowledge sources.
• Strong analytical problem-solving communication and stakeholder management skills.
• Ability to work independently and collaboratively in fast-paced client delivery environments.

Preferred Qualifications

• Experience working with financial services clients or in another regulated enterprise environment.
• Familiarity with data platforms data catalogs metadata management knowledge graphs vector databases or search technologies.
• Experience building AI solutions that require traceability human review or strong governance controls.
• Consulting experience or experience working across multiple stakeholders teams and delivery workstreams.

About Us

At Capco we specialize in management consulting and technology transformation for the financial services industry. We combine innovative thinking with deep industry expertise to help our clients navigate complex change deliver meaningful outcomes and build future-ready organizations.

Our culture is entrepreneurial collaborative and inclusive. We empower our people to challenge the status quo take ownership and make an impact from day one.

Role Overview

We are looking for a Solutions Architect with experience in core banking systems and modern application development.

• Design and implement scalable solutions for core banking platforms.
• Collaborate with business stakeholders and technical teams to define solution architecture.
• Create technical designs aligned with business and technical requirements.
• Provide architectural guidance and recommendations on best practices and technology choices.
• Support system integration performance optimization and security initiatives.
• Contribute to solution delivery throughout the project lifecycle.

• Proven experience delivering solution architecture for enterprise applications.
• Strong knowledge of core banking systems and banking processes.
• Hands-on experience with React Rust and PostgreSQL.
• Understanding of microservices REST APIs and cloud-native architectures.
• Strong analytical problem-solving and communication skills.
• Experience collaborating within Agile delivery teams.

• Experience with Kubernetes Docker or cloud platforms (AWS Azure or GCP).
• Knowledge of event-driven architectures and messaging technologies.
• Experience with CI/CD pipelines and DevOps practices.

RECRUITMENT PROCESS

• HR Interview
• Technical Interview
• Client Interview
• Feedback and Offer

We offer a flexible collaboration model based on a B2B contract with the opportunity to deliver projects across a variety of initiatives within the financial services sector.