AI Engineer Software 2
Defense / aerospace client · Chandler, AZ
- Location
- Chandler, AZ · Onsite
- Salary band
- $80 – $98/hr
- Type
- Contract
- Level
- Mid
- Work authorization
- U.S. citizenship required
Stack
LLMs · Agentic AI · RAG · Vector Databases · Python · Go · Docker · Kubernetes · OpenShift · CI/CD · Linux · LangChain · API Integration · Agent Orchestration · GitLab · Jenkins · AWS · Azure · GCP · MLOps
About the role
Job Title: Ai Engineer Software 2 Location: Chandler, AZ Duration: Contract | 1+ Years Pay Range: $(80-98) an hour. What is [contact hidden] Opportunity: About [contact hidden] Role As an AI / Automation Engineer, you will build and support AI-powered automation solutions that leverage LLMs, agent orchestration frameworks, RAG architectures, vector databases, and enterprise integrations. You will work closely with software, infrastructure, DevOps, and mission teams to deploy scalable and maintainable AI capabilities in on-premise and classified environments. Key Responsibilities - Design, develop, test, document, and deploy AI-enabled automation solutions. - Integrate LLM services, APIs, agent frameworks, and enterprise engineering tools. - Build and maintain Retrieval-Augmented Generation (RAG) solutions and vector database integrations. - Deploy and support AI applications in containerized environments using Docker and related technologies. - Develop and maintain CI/CD pipelines and automated deployment workflows. - Troubleshoot AI platforms, automation tools, infrastructure, and production issues. - Support Linux-based systems, scripting, monitoring, and system optimization. - Implement agent orchestration capabilities using frameworks such as LangChain, Mastra, or similar tools. - Collaborate with DevOps, infrastructure, and software engineering teams to identify automation opportunities. - Improve system reliability, availability, observability, and performance of AI-enabled platforms. Required Qualifications & Skills - Bachelor's degree with 2+ years of experience OR Master's degree with 1+ year of experience in Software Engineering, AI/ML, Computer Science, or a related field. - U.S. Citizen with ability to obtain and maintain a DoD Secret Clearance. - Hands-on experience with: - Large Language Models (LLMs) - Agentic AI workflows - Retrieval-Augmented Generation (RAG) - AI application deployment - Experience integrating APIs, AI services, and agent orchestration frameworks. - Strong knowledge of Python and/or Go (Golang). - Experience with Docker or similar containerization technologies. - Experience deploying AI/ML applications in on-premise or secure environments. - Knowledge of CI/CD pipelines and version control systems. - Linux administration, scripting, troubleshooting, and system support experience. - Experience with vector databases and semantic search architectures. - Understanding of LLM hosting, inference, deployment, scalability, and operational reliability. Preferred Qualifications - Experience with LangChain, Mastra, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar frameworks. - Kubernetes, OpenShift, or container orchestration experience. - Cloud deployment experience (AWS, Azure, or GCP). - Experience with classified, defense, aerospace, or government environments. - Exposure to MLOps practices and AI infrastructure management. - Knowledge of model optimization, inference tuning, and fine-tuning techniques. - Experience supporting mission-critical applications. Work Environment & Technology Stack AI & ML: LLMs, RAG, AI Agents, Vector Databases, LangChain, Agent Frameworks Programming: Python, Go (Golang) DevOps & Infrastructure: Docker, Kubernetes, OpenShift, CI/CD, GitLab, Jenkins Operating Systems: Linux Deployment Environment: On-Premise Infrastructure, Secure/Classified Systems, Containerized Platforms
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