Our AI Engineering team builds GenAI services (multi-agent orchestration, select domain-specific tools) and empowers other teams to use AI in their applications globally. Our mission is to promote best practices in fast changing AI technologies and help every developer integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential.
Requirements
- 6+ years in Python programming and ML engineering
- Strong understanding of REST API design and development
- Containerisation & IaC (Docker, Kubernetes, Terraform)
- Hands-on with at least one public LLM platform (Azure OpenAI, Bedrock, Gemini)
- Cloud operations on AWS or Azure (monitoring, incident response, cost-optimisation); experience with multi-agent systems will be an advantage
- Basic understanding of frontend technologies (Typescript, React) to support backend integration
- Experience with additional AI/ML tools and frameworks like pytorch, tensorflow, pandas, XGBoost, etc.
Responsibilities
- Design and build backend services for GenAI workloads (Python, API, LangGraph/LangChain)
- Use and apply generative AI techniques like retrieval, chunking, indexing, knowledge graphs, personalization and others
- Build multi-agent systems and help value stream teams to contribute efficient tools and agents
- Ship containerised services on AWS/Azure with Terraform, Kubernetes and ArgoCD
- Set up automated tests, CI/CD, observability and cost-tracking tools
- Partner with product, security and frontend engineers; review designs and share AI best practices
- Produce demos, templates and internal docs that accelerate adoption company-wide
Other
- Fully remote
- Strong problem-solving skills and ability to work independently
- Excellent communication and teamwork skills
- Bachelor's degree in Computer Science, Engineering, or related field
