Agentic Engineer

Your Project

You will work on designing and integrating AI‑powered agents that enhance software development and operational workflows across the software delivery lifecycle. The project focuses on orchestrating agentic capabilities that leverage Generative AI, automation, and organizational knowledge while maintaining strong governance, security, and human‑in‑the‑loop controls. These agentic solutions are embedded into enterprise environments to improve decision‑making and workflow efficiency without replacing human judgment.

Your Role

As an Agentic Engineer, you will design, build, and integrate AI agents that augment development, QA, and platform workflows. You will work closely with engineering and platform teams to embed agentic tools into CI/CD pipelines and enable adaptive automation across DevSecOps processes. Your role includes orchestrating agent behavior, integrating RAG‑based knowledge retrieval, ensuring observability, and implementing policy‑driven guardrails to support secure, governed use of AI across the SDLC.

Your Profile

You have experience working with AI‑powered or agent‑based systems that support software development or operational workflows. You are comfortable collaborating across development, QA, and platform teams and contributing to CI/CD and DevSecOps environments. Your background includes working with agent orchestration, GenAI‑driven automation, RAG‑based knowledge retrieval, and observability, with a strong focus on governance, security, and human‑in‑the‑loop controls in enterprise contexts.

Key focus areas: agent orchestration, DevSecOps integration, RAG‑based knowledge retrieval, observability, and policy‑driven guardrails across enterprise environments.

Skills:

• Strong software engineering fundamentals (Python/TypeScript/Java)
• Efficient “no hands-on code” development approach, orchestrating AI agents.
• Efficient in Agentic Software Development tools usage (e.g., Claude Code, GitHub Copilot CLI, or similar) including security by design configuration, MCP integration, building reusable skills and sub agents.
• Proficient in prompt engineering for complex, multi-step tasks.
• Strong in Spec Driven Development (SDD) (e.g. GitHub Spec‑Kit, OpenSpec)
• Strong ability to decompose problems and define tasks clearly for AI execution.
• Proficient in evaluating, refining, and validating AI-generated outputs to meet defined quality and security standards.
• Strong judgment in balancing quality, performance, and cost when selecting tools, prompts, and execution strategies.
• Strong focus on token optimization and cost aware AI usage.
• Experience with:
• Contract-first development
• API/schema design (OpenAPI, AsyncAPI, GraphQL)
• Microservices and distributed systems

Key Mindset & Behaviors:

• AI-First Thinking – naturally integrates AI into every workflow
• Systems Thinking– designs end-to-end solutions, not isolated components
• Outcome Orientation – focuses on business value, not just implementation
• Critical Thinking – validates AI outputs rigorously
• Continuous Learning – adapts quickly to evolving AI tools and practices

Nide to have:

• Experience with GenAI governance frameworks

What You Will Love About Working Here

• We care about all our employees and want them to feel as comfortable as possible. That's why we offer them health insurance from the first days, regardless of the probationary period.
• The gift from the company - Christmas holidays from 25 December to 31 December.
• Сooperation with Superhumans center and Veteran HUB. Capgemini Engineering has supported the launch of psychological rehabilitation department of Superhumans. Our team also donated over UAH 500 000 prosthetics for three Ukrainian defenders. Currently, we support psychological counseling provided by the Veteran Hub, and we have implemented an internal policy making the company friendly to military and veterans with the assistance of the Hub.