Ai Engineer

Job Title: Ai Engineer

Duration: 6 Months

Location: 5 days Onsite at LaVista, NE or Lenexa, KS

Our customer is seeking an AI Engineer to design, develop, and operate intelligent AI systems supporting complex enterprise workflows. This role focuses heavily on backend engineering (approximately 70%) with additional contributions to frontend and user interface development (approximately 30%). The engineer will work closely with product managers and software teams to deliver scalable, secure, and AI-enabled capabilities into production environments.

This position involves building AI-driven services, multi-step workflows, and system integrations, particularly leveraging modern architectures such as large-language-model systems, agent-based workflows, and retrieval augmented generation (RAG). The role requires strong experience delivering backend services in cloud environments and familiarity with modern AI tooling.

Responsibilities

• Design, develop, and deploy AI-enabled services and agent based workflows
• Build and maintain API-driven backend services supporting AI powered applications
• Contribute to frontend components and user interfaces supporting AI workflows
• Implement multi-step AI workflows with tool usage, data retrieval, and external system integrations
• Integrate AI systems with enterprise data platforms and business systems
• Develop and maintain observability, logging, and monitoring for AI services
• Collaborate with cross-functional teams to translate business needs into technical solutions
• Ensure solutions meet security, compliance, and governance requirements
• Participate in architectural reviews and contribute to platform standards and best practices

Qualifications

Required

• Bachelor s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 3+ years of professional software engineering experience
• Experience building and operating backend APIs and services
• Hands on experience with MCPs and AI workflows
• Experience designing and operating containerized services (Docker, sandboxing)
• Hands-on experience with Retrieval-Augmented Generation (RAG) systems
• Proficiency with SQL and relational database design
• Experience deploying and operating cloud-native applications in production environments

Preferred

• Experience designing or operating agent-based AI systems in enterprise environments
• Experience with PostgreSQL
• Prompt engineering experience
• Familiarity with Claude Agent SDK, Anthropic tools, or similar agent frameworks
• Experience with AI observability/tracing tools (e.g., LangFuse)
• Experience using Node.js ORMs such as Prisma or Drizzle
• Experience building APIs with Express, Fastify, or similar frameworks
• Experience contributing to frontend/UI development for AI applications
• Familiarity with React and modern frontend practices
• Experience using Shadcn UI or similar component libraries
• Knowledge of DevOps practices and CI/CD pipelines

Tools and Technologies

• Programming: C#, Python, Node.js (JavaScript/TypeScript), RESTful APIs
• AI Systems: LLMs, MCPs, agent-based workflows, RAG systems
• Data: SQL, relational modeling, PostgreSQL, Azure SQL
• Cloud & Execution: Azure Container Apps, Docker, containerized services, Vercel Sandboxes or similar
• Orchestration: Azure Functions Durable Task Scheduler, Vercel Workflows, or equivalents
• Developer Tooling: Cursor IDE or similar AI-assisted IDEs; Git-based workflows