Senior AI Developer

Verita HR is an international company providing recruitment support within the Fintech, Finance and Banking market in EMEA. The client is a leading international bank.

• Proven experience delivering AI and data products end-to-end in enterprise environments, from requirements through deployment and support (2+ years)
• Proficiency in Python and/or TypeScript, with experience working with APIs, JSON, and integration patterns
• Hands-on experience building LLM-based solutions, including RAG architectures, retrieval pipelines, grounding, citations, and tool integrations
• Strong prompt engineering and conversational AI design skills, including structured outputs, prompt templates, and testing/versioning
• Experience defining AI evaluation frameworks and quality metrics covering accuracy, groundedness, safety, latency, and cost with a data-driven approach
• Solid data engineering foundations, including data discovery, transformation, validation, and preparation of AI-ready datasets
• Practical experience with cloud-based AI and data platforms (e.g., Google Cloud or Azure), including secure data storage, access, and compute services

• Deliver AI and data product initiatives end-to-end, from solution design through build, testing, release, and post-launch support, aligned with business goals
• Design, build, and maintain data products and curated datasets that support AI, LLM, and RAG use cases
• Develop and support LLM-powered applications, including RAG pipelines, embeddings, retrieval mechanisms, grounding/citations, and tool integrations
• Create and maintain prompts, conversation flows, reusable templates, system instructions, and structured outputs, including prompt testing and version control
• Define and execute AI quality and evaluation frameworks covering accuracy, groundedness, safety, latency, and cost, using automated testing and release controls
• Implement AI guardrails, secure data handling practices, and governance controls to ensure compliance with security and risk requirements
• Build and maintain reliable data pipelines, including data profiling, transformation, enrichment, and validation for AI-ready datasets

Hybrid work: 6 days per month from the office in Cracow