AI Native Software Engineer

Job Title: AI Native Software EngineerLocation: 100% Remote Overview:Seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native 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., 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 Required Skills & Experience:• 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) Preferred Experience:• 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 Scope & Expectations:• 100% hands-on engineering role (no people management)• Deliver production-quality code and deployments• Work within existing architecture and engineering standards• Collaborate with client and internal engineering teams as needed• Participate in technical design discussions (implementation-focused)