2 months ago
Warsaw, Poland or Kraków, PolandSenior
Responsibilities
- 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.
- 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, explainable, maintainable, and production-ready.
- Work with structured and unstructured data to support AI-enabled discovery, reasoning, and decision support.
- Build or integrate search, retrieval, ranking, and knowledge management capabilities.
- Improve the quality, relevance, traceability, and explainability of AI-generated outputs.
- Collaborate with data engineering and platform teams to integrate solutions with existing data ecosystems.
- 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 software engineering practices including version control, documentation, and code review.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related field.
- At least 3 years of experience in AI engineering, software engineering, or machine learning engineering.
- Strong programming skills in Python and experience building AI applications.
- Practical experience with large language models or generative AI and 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 with cloud platforms, preferably Google Cloud Platform, with AWS or Azure experience also valuable.
- Experience with MLOps, LLMOps, automated testing, monitoring, and model evaluation frameworks.
- Experience working 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 client delivery environments.
- Preferred experience includes financial services or regulated enterprise work, data platforms, data catalogs, metadata management, knowledge graphs, vector databases, search technologies, traceable and governed AI solutions, consulting, and multi-stakeholder delivery.
Tech Stack
Categories
About Capco
Capco is a global technology and management consultancy focused on financial services, helping banks, capital markets, insurance, and wealth firms with digital transformation, risk and compliance, and data/AI-enabled modernization. Founded in 1998 and headquartered in London, it operates as a Wipro company. Its business model centers on project-based consulting, managed services, and solution delivery across strategy, engineering, and platforms for regulated institutions.