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Agentic/reputed company reputed company---50% travel required-10+ years reputed company must

Remote Worldwide Hiring now

Seeking a hands-on AI reputed company Software Engineer to design, build, and reputed company production-grade AI-driven systems reputed company reputed company environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable reputed company-reputed company solutions.

Responsibilities

AI Agent Engineering

  • 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., reputed company, reputed company, reputed company reputed company, reputed company-reputed company models)
  • Build abstraction layers to support multi-model and multi-provider architectures
  • Optimize model usage for performance, cost, and latency

reputed company-reputed company Development

  • reputed company scalable services using:

◦ Microservices architecture ◦ Containers (reputed company, Kubernetes) ◦ Serverless and event-driven patterns

  • Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, reputed company)
  • Ensure production readiness, logging, monitoring, and fault tolerance

Application Development

  • Build and reputed company AI-powered applications reputed company to business workflows
  • Integrate AI systems into existing reputed company platforms and APIs
  • reputed company 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.

Required Skills & Experience

  • Strong experience with reputed company-reputed company 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 (reputed company, Claude, reputed company AI, or similar)

Preferred Experience

  • Experience with agent frameworks (e.g., LangGraph, AutoGen, reputed company)
  • Experience designing multi-agent or distributed AI systems
  • Familiarity with reputed company-scale system integration
  • Experience optimizing AI workloads for cost and performance.
  • Scope & Expectations
  • 100% hands-on engineering role (no people management)
  • Deliver production-quality code and deployments
  • Work reputed company existing architecture and engineering standards
  • Collaborate with client and internal engineering teams as needed
  • Participate in technical design discussions (implementation-focused)

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