AI Software Engineer

This contract role is for a hands-on AI Native Software Engineer who will design, build, and deploy production-grade AI systems within enterprise environments. The work centers on agent-based workflows, AI platform integration, and scalable cloud-native development, with responsibilities spanning model-agnostic interfaces, platform orchestration, and robust production practices. The position is based onsite in Dallas, TX.

Job Details

• Location: Dallas, TX (onsite)
• Salary: USD 85 - 95 per hour
• Job type: Contract
• Experience required: 8+ years

Overview

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan. The organization delivers strategic talent solutions to clients worldwide, supporting a range of enterprise technology initiatives.

Responsibilities

• AI Agent Engineering: design and implement AI agents, including retrieval (RAG), orchestration workflows, tool and function invocation, policy-based routing; build evaluation frameworks for accuracy, latency, and reliability; establish observability and monitoring for agent lifecycles
• AI Platform Integration: connect with AI providers (OpenAI, Anthropic, Vertex AI, and open-source models); create 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, containers (Docker, Kubernetes), serverless and event-driven patterns; implement CI/CD pipelines and infrastructure as code (Terraform, Helm); ensure production readiness with 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 latency, throughput, accuracy, and cost; diagnose and optimize production systems

Requirements

• 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
• CI/CD pipelines
• Infrastructure as code
• Monitoring and observability tools
• Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)

Technologies

• Python
• Java
• Docker
• Kubernetes
• Terraform
• Helm
• OpenAI
• Anthropic
• Vertex AI
• Claude
• LangGraph
• AutoGen
• CrewAI
• CI/CD pipelines
• Infrastructure as code
• Monitoring and observability tools

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 (LangGraph, AutoGen, CrewAI)
• Designing multi-agent or distributed AI systems
• Familiarity with enterprise-scale system integration
• Experience optimizing AI workloads for cost and performance

Scope & Expectations

This is a 100 percent hands-on engineering role with no people management responsibilities. The incumbent will deliver production-quality code and deployments, operate within existing architecture and engineering standards, and collaborate with client and internal engineering teams as needed. Participation in implementation-focused technical design discussions is expected.