Agentic/ Native AI Engineer

Agentic/ Native AI Engineer Invovia Dallas, TX Job Details Contract $75 - $85 an hour 1 day ago Qualifications AI models Containerization systems Continuous Delivery (CD) implementation Infrastructure as Code (IaC) Enterprise software IT system monitoring AI platforms (beyond public GPTs) Machine learning projects Enterprise software systems development Java Microservices Machine learning cloud services Model deployment Terraform Cloud Native Design Production monitoring Cloud automation DevOps automation Cloud monitoring System performance monitoring Full Job Description Job Summary Overview Seeking a hands-on AI Native 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 latencyCloud-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 toleranceApplication 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 workflowsTesting & 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 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)

Pay:

$75.00 - $85.00 per hour

Work Location:

Hybrid remote in Dallas, TX 75234