About the Role
We are looking for a Senior AI Engineer to support IT teams in the practical use of artificial intelligence in the software development process. The person in this role will combine software engineering experience with expertise in GenAI, AI Agents and Agentic SDLC. The role will involve both designing and implementing AI solutions and working directly with development teams—from discovery and workflow design, through integration with the existing environment, to production deployment and knowledge transfer.
Responsibilities
•Implementing and integrating AI tools into the software development environment
•Designing and building AI workflows, agents, prompts and automations
•Integrating AI solutions with repositories, CI/CD, code review and testing processes
•Supporting IT teams in using AI in their daily work
•Designing and developing Agentic SDLC practices tailored to different roles—Developer, QA, Analyst, DevOps
•Conducting technical workshops and discovery
•Translating business and technical needs into concrete solutions and architecture
•Deploying AI solutions to production, including their configuration, integration, hardening and monitoring
•Analyzing the effectiveness of AI implementations and optimizing model usage costs
•Working with teams through pair/mob programming, collaborative design and code review
•Preparing technical documentation and standards for AI use
•Transferring knowledge and supporting teams in taking ownership of implemented solutions
Requirements
•At least 5 years of experience in a technical role, e.g. Software Developer, DevOps Engineer, QA/Test Automation Engineer or similar
•Practical experience in software development teams and knowledge of the full SDLC
•Experience using AI tools in the software development process, e.g. GitHub Copilot, Claude Code, Cursor, Codex, M365 Copilot or open-source models
•Practical knowledge of building AI Agents, AI Workflows, skills and prompts
•Experience integrating AI solutions with the development environment, including repositories, CI/CD, code review and tests
•Knowledge of Spec-Driven Development and modern AI-supported software engineering practices
•Knowledge of LLMs, RAG, automation and agent architectures
•Experience deploying AI solutions to production, including their configuration, integration, hardening and monitoring
•Ability to translate business and technical needs into concrete solutions and architecture
•Ability to assess the business value of AI solutions and optimize model usage costs
•Very good communication and consulting skills, and experience working with both technical teams and people at managerial level
•Experience transferring knowledge through pair/mob programming, collaborative code review, design and solution development
•Willingness to work in a hybrid model—at least 1 day a week from the office
•Providing services from within Poland
Nice to Have
•Knowledge of LangGraph
•Knowledge of the MCP (Model Context Protocol)
•Experience supporting teams in taking ownership of implemented AI solutions
•Experience working in a large organization, especially in the financial sector
•Knowledge of security, compliance and governance in a corporate environment
•Experience conducting technical workshops as part of discovery
•An analytical approach, independence, and willingness to experiment and keep learning
Conditions
•Long-term collaboration on a project related to the practical use of AI
•The opportunity to work on solutions involving GenAI, AI Agents and Agentic SDLC
•A high degree of independence in designing and implementing solutions
•Hybrid work model: 1 day from the office
•The option to use Luxmed and Multisport packages on preferential terms
