AI Engineer (Agentic SDLC)

Quick Facts

• Role: AI Engineer (Agentic SDLC)

• Collaboration: B2B

• Location/Work model: Hybrid (at least 1 day/week in Warsaw)

Description

You will join a project introducing an Agentic SDLC approach into client development teams. The role focuses on designing, building, and deploying AI agents, workflows, skills, and prompts integrated with developer tools and CI/CD, then maintaining and measuring their impact. You will also translate business and technical needs into initiatives and solution architecture, and help standardize AI-assisted engineering practices across roles.

Responsibilities

• Build AI agents, workflows, skills, and prompts and embed them into the production engineering environment (repositories, CI/CD, code review, and tests)

• Implement Spec Driven Development and modern AI-driven engineering practices using LLM, RAG, automation, and agent architectures

• Deploy AI solutions to production (configuration, integration with organizational systems, hardening, monitoring, and ongoing development)

• Run discovery workshops to gather business/technical requirements and turn them into concrete initiatives and architecture

• Estimate AI business value, optimize model usage costs, and measure deployment outcomes

• Share knowledge via pair and mob programming, co-lead code reviews, and collaboratively design/build solutions

• Establish shared standards for working with AI tools and adapt Agentic SDLC practices across developer, tester, analyst, and DevOps roles

• Support teams in gradually taking over operational ownership of deployed solutions

Requirements

• At least 5 years in a technical role within software development lifecycle teams and experience across the application lifecycle

• Experience designing and implementing AI tools for software development (e.g., GitHub Copilot, Claude Code, Cursor, Codex, M365 Copilot, or open-source models)

• Hands-on ability to build AI agents, workflows, skills, and prompts and integrate them into the engineering environment

• Knowledge of Spec Driven Development, LLM, RAG, automation, and agent architectures

• Experience deploying AI solutions to production including configuration, integration, hardening, monitoring, and development

• Ability to convert business and technical requirements into implementation initiatives and solution architecture, including leading discovery workshops

• Ability to evaluate AI business value, optimize model costs, and measure results

• Excellent communication and advisory skills with technical teams and leadership

• Experience transferring engineering knowledge and aligning AI practices across team roles

• Experience supporting operational handover for deployed solutions

• Knowledge of software development in a large financial institution, including security and compliance requirements

• Analytical mindset, independence, and openness to experimentation and continuous improvement

• Availability to provide services from Poland in a hybrid setup with at least 1 day/week onsite in Warsaw

Benefits

• Opportunity to work on an Agentic SDLC adoption project, building end-to-end AI agent solutions integrated with CI/CD and production operations.