Agentic SDLC Senior Engineer

OPTIVEUM sp. z o.o.•Capon Bridge, WV

11h•PLN 195•Hybrid

About The Position

Optiveum is recruiting and contracting for a client in the insurance industry. The Agentic SDLC Senior Engineer will lead the end-to-end adoption of AI across the software development lifecycle, from needs analysis and pilot projects through standardisation, governance and scaling. The role involves hands-on work with development teams and close cooperation with managers and directors. The position is based in Warsaw and follows a hybrid model, with at least one day per week in the office. It is full-time at 40 hours per week, with a stated B2B rate of up to 195 PLN per hour and an ASAP start.

Requirements

At least 5 years of experience in a technical role such as 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, such as GitHub Copilot, Claude Code, Cursor, Codex, M365 Copilot or open-source models.
Practical ability to build AI agents, workflows, skills and prompts and integrate them with delivery environments, including repositories, CI/CD, code review and 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, including configuration, integration with organisational systems, hardening, monitoring and iterative development.
Ability to gather and structure business and technical needs and translate them into concrete initiatives and solution architecture, including through technical discovery workshops.
Ability to assess AI business value, optimise model usage costs and measure implementation impact.
Strong communication and consulting skills, including the ability to work with technical teams, managers and directors.
Experience transferring engineering knowledge by working alongside teams through pair/mob programming, joint code reviews, 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 developers, testers, analysts and DevOps roles.
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.
Must provide services from within Poland.

Nice To Haves

Hands-on experience with agent frameworks such as LangGraph.
Experience with the MCP protocol.

Responsibilities

Lead end-to-end Agentic SDLC implementations, including needs analysis, pilots, tool configuration, standardisation, governance and scaling.
Work with managers, directors and teams to gather needs, set priorities and create an AI adoption roadmap.
Deliver training, 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 for analysis, development, testing, code review, documentation and maintenance.
Build an internal knowledge base of AI-in-SDLC standards, usage patterns and best practices.
Manage resistance to change by communicating benefits, addressing concerns, engaging technical leaders and helping teams change how they work.
Define and monitor KPIs/OKRs and ROI for AI implementations, including productivity, quality, delivery time, unit cost of change and tool adoption.
Evaluate and recommend AI SDLC solutions with regard to quality, cost, security, regulatory risk and organisational policy compliance.
Create and enforce rules for safe and 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.