AI Fullstack Engineer
Poland
Capco is seeking experienced and motivated AI Engineers to help design, build, and deploy AI-enabled solutions for clients in the financial services industry.
The ideal candidate combines strong software engineering skills with practical experience in large language models, machine learning, data platforms, and modern AI application development. You will work closely with client stakeholders, product teams, data specialists, and engineers to turn business needs into AI capabilities that are explainable, maintainable, and aligned with enterprise standards.
Responsibilities
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
- Bachelor’s or Master’s 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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or 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, including large language models or generative AI.
- Experience with retrieval-augmented generation, embeddings, semantic search, prompt engineering, or agent-based workflows.
- Experience with cloud platforms (preferably Google Cloud Platform; AWS or Azure also valuable).
- Experience with MLOps/LLMOps, CI/CD, automated testing, monitoring, and model evaluation frameworks.
- Ability to work with structured and unstructured data, metadata, documentation, logs, and enterprise knowledge sources.
- Strong understanding of software engineering principles, APIs, data structures, testing, and production deployment.
- Strong analytical, problem-solving, communication, and stakeholder management skills; ability to work independently and collaboratively in client delivery environments.
- Experience working with financial services clients or regulated enterprise environments.
- Familiarity with data platforms, data catalogs, metadata management, knowledge graphs, vector databases, or search technologies.
- Experience building AI solutions requiring traceability, human review, or strong governance controls.
- Consulting experience or experience working across multiple stakeholders, teams, and delivery workstreams.
What the Team is Saying
What We Do
Capco, a Wipro company, is a global management and technology consultancy specializing in driving transformation in the energy and financial services industries. Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting edge ingenuity is brought to life through its award-winning Be Yourself At Work culture and diverse talent. TRUSTED ADVISORS - Our collaborative and entrepreneurial approach position us as trusted long-term partners to our clients. DEEP EXPERTISE - Clients look to us for clear guidance, proven expertise, and the support they need to set their companies up for success. DISRUPTIVE SOLUTIONS- We do not provide off -the-shelf answers to clients’ challenges. Instead, we work in close collaboration to understand the issues, and craft disruptive, bespoke solutions. ACCOUNTABILITY AND OWNERSHIP - We recognize every client has distinct needs and expectations, and we take ownership and accountability for the solutions we design, build, and deliver.
Why Work With Us
We support and encourage an inclusive culture, entrepreneurial outlook and independent thinking. Capco is not about organizational charts and rigid hierarchies – we want all employees to feel that Capco is their firm to own and run. We believe diversity powers innovation. Be Yourself At Work (#BYAW) is an integral and underlying part of our culture
Gallery
Capco Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
