AI Software Engineer

TekWissen Software Private Limited, a global workforce management provider headquartered in Ann Arbor, Michigan, connects clients worldwide with strategic engineering talent. This onsite contract opportunity in Dallas, TX offers an hourly rate of USD 85 - 95 and a 100% hands-on engineering role focused on designing, building, and deploying AI driven systems in enterprise environments. The focus areas include agent-based workflows, AI platform integration, and cloud-native development, making it an ideal fit for an experienced AI native software engineer with production deployment experience.

Responsibilities

• AI Agent Engineering: design and implement AI agents, including retrieval augmented generation, orchestration workflows, tool and function invocation, and policy-based routing; build evaluation frameworks for accuracy, latency, and reliability; implement observability and monitoring for the agent lifecycle.
• AI Platform Integration: integrate with AI providers such as OpenAI, Anthropic, Vertex AI, and 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, 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; debug and optimize production systems.

Requirements

• 8–10+ years of software engineering experience
• Strong experience with cloud-native systems including APIs, microservices, containers, and serverless architectures
• Experience building and deploying AI/LLM-based systems in production, including agents, retrieval augmented generation, and 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 such as OpenAI, Claude, Vertex AI, or similar

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

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

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 with an implementation focus