Artificial Intelligence Engineer

Qualifications

• 8+ years of software engineering experience.
• Strong experience with GCP (Vertex AI, GKE, Big Query, APIs).
• Experience with distributed systems and scalable platform design.

• Hands-on experience with:
  • LLMs, embeddings, and RAG architectures
  • Agentic workflows and AI-driven systems
• Experience working with multiple model providers / model ecosystems.
• Strong familiarity with agent frameworks such as Lang Chain, Lang Graph, or similar ecosystems.

• Strong experience with:
  • CI/CD pipelines and automation for production systems
  • Secure system design (authentication, authorization, data access controls)
  • API-first and microservices architectures
• Experience designing highly observable systems (metrics, tracing, logging).
• Ability to manage performance, cost, and reliability trade-offs in AI workloads.

• Hands-on experience with LLM evaluation frameworks and observability tooling.
  • Model evaluation and benchmarking pipelines
  • Test harnesses for agent workflows
  • Continuous validation / regression testing for AI systems
  • Simulation or scenario-based testing for agent behavior

• Experience with AI governance / Responsible AI practices.
• Familiarity with enterprise-scale AI platforms or shared developer platforms.
• Retail or domain experience (digital, marketing, operations).

• Work on a foundational AI platform initiative with enterprise-wide impact.
• Define how AI agents are built, governed, and scaled across the organization.
• Influence both hands-on engineering and long-term platform direction.