Agentic SDLC Senior Engineer

Key Details:

* Rate: up to 195 PLN/h (B2B)

* Work Model: Hybrid, min. 1 day a week from the office, full-time (40h/week)

* Location: Warsaw

* Start: ASAP

Responsibilities:

* Lead end-to-end Agentic SDLC implementations: needs analysis, pilots, tool configuration, standardisation, governance and scaling

* Work with managers, directors and teams to gather needs, set priorities and build an AI adoption roadmap

* Run trainings, workshops, consultations and hands-on working sessions for cross-functional development teams

* Support teams in using tools such as GitHub Copilot, Claude Code, Cursor, Codex and M365 Copilot effectively

* Design and implement workflows, agents, prompts, skills and Spec-Driven Development practices supporting analysis, development, testing, code review, documentation and maintenance

* Build an internal knowledge base, standards, usage patterns and best practices for AI in the SDLC

* Manage resistance to change: communicate benefits, address concerns, engage technical leaders and help teams change how they work

* Define and monitor KPIs/OKRs and ROI of AI implementations, including productivity, quality, delivery time, unit cost of change and tool adoption

* Evaluate and recommend AI SDLC solutions, considering quality, cost, security, regulatory risk and compliance with organisational policies

* Create and enforce rules for safe, responsible AI use, including data protection, access control and risk management

* Monitor the AI market and translate new capabilities into concrete use cases in the property insurance domain

Requirements:

* At least 5 years of experience in a technical role: Software Developer, DevOps Engineer, QA/Test Automation Engineer or similar

* Hands-on experience in delivery teams and knowledge of the full application lifecycle

* Experience designing and implementing AI-based solutions in the SDLC (e.g. GitHub Copilot, Claude Code, Cursor, Codex, M365 Copilot, open-source models)

* Practical ability to build AI agents, workflows, skills and prompts and integrate them with the delivery environment (repositories, CI/CD, code review, testing)

* Knowledge of Spec-Driven Development and modern AI-assisted software engineering practices

* Understanding of LLMs, RAG, automation and agentic architectures

* Experience deploying AI solutions to production: configuration, integration with organisational systems, hardening, monitoring and iterative development

* Ability to gather and structure business and technical needs and turn them into concrete initiatives and solution architecture, including through technical discovery workshops

* Ability to assess the business value of AI, optimise model usage costs and measure the impact of implementations

* Strong communication and consulting skills, with the ability to work with technical teams, managers and directors

* Experience transferring engineering knowledge by working alongside teams: pair/mob programming, joint code review, joint design and delivery on real team tasks

* Ability to unify AI tooling practices and standards within a team and tailor Agentic SDLC practices to roles (developer, tester, analyst, DevOps)

* Ability to support delivery teams in taking operational ownership of implemented solutions through gradual handover and working side by side

* Familiarity with software delivery in a large financial organisation and awareness of security and compliance requirements

* Analytical mindset, independence, openness to experimentation and continuous learning

* Fluent Polish

* Providing services from within Poland

Nice to have:

* Hands-on experience with agent frameworks such as LangGraph

* Experience with the MCP protocol