AI Engineer

Qualifications

• Python technology + Additional backend knowledge
• Hands on GCP experience (Vertex AI preferred)
• Implemented access control mechanism, trusted AI solutions
• Strong SQL (Big Query preferred)
• Experienced API building
• Hands-on Experience ADK framework or similar agent framework
• Hands-on Experience AI/LLM application or chatbots
• Domain knowledge Supply chain / transportation domain experience (e.g., logistics, TMS, routing, shipment visibility)

• IAM/Secure service integration
• Agents interacting with client’s APIs, data platforms, and operational systems
• MCP‑based tool integrations for internal systems

• Agent Studio / AI Studio or rapid prototyping tools
• Enterprise copilots or operational AI assistants
• Gemini models
• GCP AI Agentic capabilities (If not, Azure AI Agentic capabilities is fine)
• Create debugging, observability, and evaluation frameworks for agent behavior.

• Develop AI agents/chatbots with tool integration (APIs, databases, services)
• Build using ADK (Python required; Java or similar preferred)
• Create multi-step agent workflows (reasoning, orchestration, context handling)
• Rapidly prototype using Agent Studio / AI Studio (or equivalent)
• Convert POCs to production services on GCP (Cloud Run / GKE)
• Integrate with Vertex AI, Big Query, enterprise systems
• Implement guardrails, access controls, and monitoring
• Optimize latency, cost, and reliability
• Integrate agentic systems with client’s:
• APIs, microservices, and event-driven systems
• Identity, security, and governance frameworks
• Define standards for agent safety, guardrails, and responsible autonomy.
• Drive AI/Agentic use case discovery with client’s business and technology leaders.
• Shape proposals, solution narratives, and executive presentations.
• Act as the primary AI/Agentic technical advisor for the client’s account.

• Partner with cloud, data engineering, product, and business teams to deliver cohesive solutions.
• Mentor engineers on agentic patterns, tool integration, and modern AI development.

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.