Manager in Oracle data and analytics at PwC analysing complex data systems and encouraging innovation. Leading teams and mentoring junior staff while driving project success.
About the role
- AI Engineer designing agentic and multimodal AI systems at WongDoody. Focused on creativity, data, and automation through innovative technology solutions.
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
- 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
AI Engineer developing innovative AI solutions that drive business transformation for PwC clients. Analyzing complex problems and mentoring junior team members in AI technologies and cloud infrastructure.
Senior Agentic AI Engineer focusing on LLM - based systems and design of agentic architectures for a dynamic international company. Collaborating across departments to enhance AI integration and automation efforts in digital entertainment.
AI Engineer responsible for developing AI agents, tools, and machine learning models at IPFS. Focused on enhancing data accessibility and driving innovation across the IPFS ecosystem.
Lead AI automation strategy for Customer Service at Spotify by shaping AI agents' behavior and outcomes. Collaborate with cross - functional teams to ensure effective, safe, and trustworthy AI experiences.
Medical Affairs AI Lead driving AI transformation at Pfizer. Defines vision, builds prototypes, and collaborates with cross - functional teams for effective AI solutions.
AI Developer creating AI - powered solutions for clients at PwC. This role involves data engineering and AI feature implementation.
AI Engineer developing AI solutions on Horizon for renewable energy optimization. Collaborating with product managers and software engineers to design and deploy LLM - powered systems.
Senior Lead AI Engineer developing responsible and reliable AI systems at Capital One. Leading teams to deploy AI - powered products and advance the company's AI capabilities.
Senior Manager, AI Engineering leading the strategic adoption and scaling of AI at VodafoneThree. Overseeing implementation of scalable AI capabilities and collaborating across teams for innovation.