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Agentic AI Software Engineer

Saxon Global Inc

What You Must Have

  • 8-10+ years of software engineering experience
  • Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
  • Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
  • Proficiency in Python, Java, or similar backend languages
  • Experience with:
    • CI/CD pipelines
    • Infrastructure as Code
    • Monitoring and observability tools
    • Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)
What We'd Like You to Have
  • Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI)
  • Experience designing multi-agent or distributed AI systems
  • Familiarity with enterprise-scale system integration
  • Experience optimizing AI workloads for cost and performance
Responsibilities Will Include
  • Design and implement AI agents, including:
    • Retrieval (RAG)
    • Orchestration workflows
    • Tool/function invocation
    • Policy-based routing
    • Build evaluation frameworks for accuracy, latency, and reliability
    • Implement observability and monitoring for agent lifecycle
  • AI Platform Integration
    • Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)
    • Build abstraction layers to support multi-model and multi-provider architectures
    • Optimize model usage for performance, cost, and latency
  • Cloud-Native Development
    • Develop scalable services using:
        • Microservices architecture
        • Containers (Docker, Kubernetes)
        • Serverless and event-driven patterns
        • Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm)
        • Ensure production readiness, logging, monitoring, and fault tolerance
  • Application Development
    • Build and deploy AI-powered applications aligned to business workflows
    • Integrate AI systems into existing enterprise platforms and APIs
    • Develop backend services and APIs supporting agent workflows
  • Testing & Performance
    • Define and execute test strategies for AI systems
    • Measure system performance (latency, throughput, accuracy, cost)
    • Debug and optimize production systems
Vacancy posted 4 days ago
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