AI Native Software Engineer

Title - AI Native Software EngineerLocation – 75% travel to Dallas, TX & 25% across US.Duration – 12+ Months with possibility of conversionOverviewSeeking 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.ResponsibilitiesAI Agent EngineeringDesign and implement AI agents, including: Retrieval (RAG)Orchestration workflowsTool/function invocationPolicy-based routingBuild evaluation frameworks for accuracy, latency, and reliabilityImplement observability and monitoring for agent lifecycleAI Platform IntegrationIntegrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)Build abstraction layers to support multi-model and multi-provider architecturesOptimize model usage for performance, cost, and latencyCloud-Native DevelopmentDevelop scalable services using: Microservices architectureContainers (Docker, Kubernetes)Serverless and event-driven patternsImplement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm)Ensure production readiness, logging, monitoring, and fault toleranceApplication DevelopmentBuild and deploy AI-powered applications aligned to business workflowsIntegrate AI systems into existing enterprise platforms and APIsDevelop backend services and APIs supporting agent workflowsTesting & PerformanceDefine and execute test strategies for AI systemsMeasure system performance (latency, throughput, accuracy, cost)Debug and optimize production systemsRequired Skills & Experience8–10+ years of software engineering experienceStrong 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 languagesExperience with: CI/CD pipelinesInfrastructure as codeMonitoring and observability toolsHands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)Preferred ExperienceExperience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI)Experience designing multi-agent or distributed AI systemsFamiliarity with enterprise-scale system integrationExperience optimizing AI workloads for cost and performanceScope & Expectations (Contractor-Specific)100% hands-on engineering role (no people management)Deliver production-quality code and deploymentsWork within existing architecture and engineering standardsCollaborate with client and internal engineering teams as neededParticipate in technical design discussions (implementation-focused)