Applied AI Engineer at Spesia transforming clinical data into real healthcare AI tools for doctors and patients. Developing machine learning models and implementing AI in health applications.
About the role
- AI Engineer designing and developing agentic and multimodal AI systems at WongDoody. Collaborating with cross-functional teams to create engaging AI-driven experiences.
Responsibilities
- Design and engineer agentic and multimodal AI systems that bring together creativity, data, and automation
- Develop end-to-end GenAI workflows that integrate 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
Requirements
- 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 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 event handling) 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
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
- Working for strong brands and clients we believe in
- 30 days vacation per year
- Company Benefits
- Urban Sports Club
- Nice people in welcoming teams
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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