Description
We are seeking an Engineer - AI Platform to design, develop, and improve software using various engineering methodologies. This role involves providing business, platform, and technology capabilities for our customers and colleagues.
Accountabilities:
- Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools.
- Collaborate cross-functionally with product managers, designers, and other engineers to define software requirements and devise solution strategies.
- Participate in code reviews and promote a culture of code quality and knowledge sharing.
- Stay updated on industry technology trends and contribute to the organisation's technology communities.
- Adhere to secure coding practices to mitigate vulnerabilities and ensure secure software solutions.
- Implement effective unit testing practices to ensure proper code design, readability, and reliability.
Analyst Expectations:
- Perform prescribed activities in a timely manner and to a high standard, consistently driving continuous improvement.
- Demonstrate in-depth technical knowledge and experience in their assigned area of expertise.
- Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources.
- Demonstrate leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.
Requirements:
- Software engineering on cloud (3+ yrs) building applications at scale on AWS/Azure/GCP.
- Python (preferred) or Java/Go , REST APIs, async frameworks, clean testable code.
- GenAI/LLM hands-on , calling LLM APIs, prompt building, RAG patterns, embeddings.
- Agentic AI framework (LangGraph/LangChain or Google ADK) + Docker/Kubernetes basics.
Nice to Have:
- Observability , OpenTelemetry, structured logging, distributed tracing.
- OPA/Rego or access control systems.
- AI safety concepts , prompt injection risks, PII handling, content filtering.
- IaC (CloudFormation/Terraform) and GitOps workflows.