Experience:

• 5+ years in software engineering with strong full-stack capability
• 3+ years hands-on experience building LLM-powered or agentic applications

Qualification:

• Bachelor's in Computer Science, Software Engineering, or equivalent practical experience

Responsibilities:

• Design, build, and deploy AI agents on Google Agent Builder including prompts, tools/functions, orchestration, and memory
• Develop full-stack applications with front-end interfaces and back-end services/APIs to expose and supervise agent capabilities
• Integrate agents with Snowflake, internal systems, and third-party APIs for real task execution
• Implement retrieval augmented generation (RAG) against company data to ground agent responses and actions
• Build evaluation and testing harnesses for agent accuracy, safety, and regression control
• Instrument observability including logging, tracing, and metrics for agent behavior and performance
• Apply guardrails and human-in-the-loop patterns for sensitive or high-impact actions
• Optimize performance and cost in collaboration with FinOps
• Support responsible AI practices and governance
• Implement event-driven and API-based integrations using microservices patterns

Additional responsibilities:

• Work end-to-end from ambiguous business problems to reliable software
• Ensure agents behave predictably, fail safely, and keep humans in control where it matters
• Iterate quickly toward production-grade outcomes
• Collaborate with Lead Manager – AI Platform & Engineering, Data Engineer, FinOps Manager, and business users
• Deliver AI ambition as working automation moving from AI as assistant to AI that does the work

Nice to have:

• Experience with agent frameworks, enterprise AI platforms, orchestration, and vector search/embeddings
• Exposure to cloud cost optimization and FinOps practices
• GCP associate or professional certification
• Prior work shipping AI features to real users in production

More skills:

GCP, Vertex AI, Snowflake, SQL, safe-deployment practices, Git, CI/CD, testing, code review, multi-agent systems, distributed architectures, event-driven systems, scalable cloud systems, AI delivery tools like Claude Code, Antigravity

Other:

• Unilever is a global company with 3.4 billion consumers in over 190 countries
• Company purpose is to make sustainable living commonplace
• Inclusive, collaborative, and flexible working environment
• Wild is a high-growth startup launched in 2020 focused on removing single-use plastic
• Leadership values include caring deeply, focusing on what counts, staying three steps ahead, and delivering with excellence
• Commitment to equality, diversity, and inclusion with fair consideration regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, pregnancy and maternity