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# AI Software Engineer

- **Company:** TekWissen LLC
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $176,800.0 - $197,600.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Abstraction Layers, Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Cloud Computing, Software Debugging, Fault Tolerance, Monitoring of Systems, Python (Programming Language), Open Source Technology, Software Engineering, Systems Integration, Strategies of Testing, Data Logging, Performance Testing, Large Language Models, Multi-Agent Systems, Backend, Build Management, AI Platforms, Kubernetes, Low Latency, Production Code, Performance Monitor, Virtual Agents, Terraform, Serverless Computing, Docker, Microservices
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b316b0b14e7bddbc

## About the Role

Do you have experience in System performance monitoring?, * 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)

## Description

* Seeking 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., * 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 latency

Cloud-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 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 system performance (latency, throughput, accuracy, cost)
 * Debug and optimize production systems


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