Agentic/ Native AI Engineer

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

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)

Pay: $75.00 - $85.00 per hour

Work Location: Hybrid remote in Dallas, TX 75234