Artificial Intelligence Engineer

Job Description

As an Agentic AI Engineer, you will design, build, and run AI agents and workflows that meaningfully improve how our engineers work every day.

You will work closely with engineering teams to understand their pain points and translate them into practical solutions — for example, building reusable components like commands, skills, and CI agents; designing and orchestrating custom agent workflows; developing low/no-code agents for faster adoption; and creating and maintaining knowledge bases connected via connectors and MCP servers. You will also help teams adopt modern development workflows (e.g., spec-driven development instead of “vibe coding”) and lead workshops and training sessions to scale these practices across the organization

Your work will help our teams shape the new way of working, reduce manual and repetitive work, and unlock new ways of collaborating with AI agents at scale — ultimately improving both developer productivity and the impact we deliver for clients.

You will be based in Europe time zone as part of our CodeBeyond Team, partnering with engineers and stakeholders across different teams and setups. This team helps our colleagues adopt cutting-edge agentic platforms and workflows so they can focus more on solving complex problems and less on routine execution.

Your Growth

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.

In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• Exceptional benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your Qualifications and Skills

• Deep experience with agentic platforms

1. Hands-on experience building and deploying agents using platforms such as AgentCore, Gemini Enterprise, and Azure Copilot.
2. Strong understanding of agent SDKs and frameworks such as ADK, LangChain, and Strands.

• Strong development workflow discipline

1. Proficient in modern development workflows (branching, code review, CI/CD, testing, observability).
2. Clear understanding of why “vibe coding” (coding without specs, tests, or structure) is harmful at scale.
3. Experience using spec-driven development or similar frameworks to design and implement features in a structured way.

• Agentic protocols, communication, and tactics

1. Familiarity with key agentic patterns and protocols such as A2A (agent-to-agent communication), MCP (Model Context Protocol), RAG (Retrieval-Augmented Generation), memory management, and context management.
2. Ability to design effective interaction patterns between agents, tools, and users.

• Cross-functional collaboration

1. Ability to work with engineers, PMs, and other stakeholders to understand their problems and define clear, actionable requirements.
2. Experience running workshops, training sessions, and demos to drive adoption and teach best practices.

• Hands-on build experience with LLM tooling

1. Have created and maintained Cursor commands, Claude skills, steering documents, and CI agents (or similar equivalents in other tools).
2. Comfortable experimenting with and standardizing new agent workflows and tools for wider team use.

• Nice to have

1. Experience with enterprise AI governance, safety, and compliance practices.
2. Background in developer experience (DevEx), platform engineering, or internal tools.
3. Familiarity with observability and monitoring for agents (traces, logs, evaluation frameworks, feedback loops).
4. Experience integrating agents with existing systems via APIs, webhooks, and event-driven architectures.