Agentic AI Software Engineer--100% Remote

Hello,

I am Mohammed Dastagir with Saxon Global Inc wanted to let you know about the job opportunity for Agentic AI Software Engineer

position if interested please share your updated resume along with expecting rate.

Title: Agentic AI Software Engineer

Location: Remote (10% travel potential)

Number of Openings: 30+

Duration: Long-Term Contract

Only on W2

We are looking for multiple AI Native Software Engineers to support our client's growing AI practice!

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

Mohammed Dastagir

Resource Manager

Saxon Global Inc.

a:

Linked in:

w:   e: dastagir.m