AI Agentic Engineer - SDLC AI-Driven

About our client Our client provides comprehensive HR software for the public sector, covering the full employee lifecycle - recruiting, onboarding, performance management, and compliance for government organizations. What you'll do Design systems where AI agents and developers collaborate in real time. Build and implement agentic systems capable of planning tasks, writing code, running tests, and deploying applications. Integrate LLMs (especially Claude) into production workflows. Design tool-use (function calling) and agent orchestration layers. Implement strategies for long-context management and multi-step reasoning loops. Define architecture for scalable, distributed AI systems on AWS. Evaluate when to leverage .NET or alternative ecosystems, ensuring the best tool for each challenge. Work closely with engineering teams to bring architecture into production. What you bring (must-haves) Proven experience building or designing AI/agentic systems. Deep understanding of LLM integrations (especially Claude or similar models), function calling / tool-use patterns, agent orchestration, reasoning loops, prompt engineering, and context management. Hands-on experience with AWS and complex cloud-native architectures. Strong background in distributed systems and scalable platform design. Hands-on experience with systems built with .NET C# and Angular. Core focus on SDLC-AI Driven development. Ability to make high-impact architectural decisions in fast-evolving environments. Strong communication skills and ability to influence technical direction. English proficiency at C1 level (written and verbal). Bonus points for (nice-to-haves) Experience building developer platforms or coding tools. Familiarity with tools like Replit, Cursor, or AI-assisted IDEs. Experience with multi-agent systems or orchestration frameworks. Background in DevOps automation or CI/CD pipelines powered by AI. Exposure to product-led engineering environments. Perks & benefits 💻 Equipment provided — non