Senior AI Engineer

Job title: Senior AI Engineer

About the Role Join WongDoody's cross-unit AI, tech and experience team to design and engineer agentic and multimodal AI experiences that blend creativity, data, and automation. You will work with GenAI workflows and integrate visual AI with enterprise stacks, helping evolve an AI-first culture across brands and clients.

What You'll Do

• Design and engineer agentic and multimodal AI systems that bring together creativity, data, and automation.
• Develop end-to-end GenAI workflows integrating LLMs, visual AI systems (via ComfyUI), and existing enterprise stacks.
• Connect and orchestrate visual generation interfaces with backend systems and APIs for marketing, design, and content production use cases.
• Prototype, validate, and scale AI-driven experiences from concept to production (together with designers, strategists, and engineers).
• Define AI engineering standards for prompting, evaluation, observability, and ethical guardrails across WongDoody's creative technology practice.
• Provision and set up on-premises servers and cloud solutions for usage with GenAI tools.
• Collaborate in cross-functional, agile teams and help evolve WongDoody's AI-first innovation culture.

What We're Looking For

• A passion for creative technology, curiosity for emerging AI tools, and the ability to turn ideas into working prototypes.
• Analytical and structured mindset with the ability to make complexity simple.
• End-to-end architecture experience from prototyping to production (including CI/CD, logging, analytics, and scaling).
• Strong experience in software engineering (Python and/or TypeScript).
• Practical knowledge of LLM frameworks, tools and protocols (LangChain, LangGraph, n8n, MCP, A2A, Bedrock, or similar) including agentic architectures.
• Experience in integrating visual AI tools such as ComfyUI, Stable Diffusion, Google Imagen, or Adobe Firefly into broader workflow systems.
• Proven experience integrating text-based AI APIs like ChatGPT, Claude, Gemini, or Llama into end-to-end workflow solutions.
• Familiarity with prompting techniques, RAG pipelines, and AI workflow orchestration including guidance/guardrails, observability (P95, cost/request), evaluation pipelines.
• Understanding of real-time communication protocols (Websocket / gRPC / PubSub) and API integration across data and creative environments.
• Competence in infrastructure setup (Docker, Terraform, cloud platforms like GCP, AWS, or Azure), understanding the resources cost factor and ability to optimize it.
• Open-source engagement or hands-on experimentation with AI agents, visual frameworks, or orchestration systems.
• Excellent English communication skills (German is a plus).

Nice to Have

• Experience with IBM watsonx / Watson AI or related enterprise AI ecosystems.

Compensation & Benefits

• Flexible working hours and 100% overtime compensation.
• Work where it works for you: at home or in the office, or any mix you like.
• 26 days vacation per year.
• Nice people in welcoming teams.