Job Title: AI Engineer II, 19523

Location: Remote considered for highly qualified candidates

Pay Rate, $65.74

Contract Duration, 5/3/2027

Job Overview

The AI Engineer II will design, build, and deliver production-grade generative AI applications that solve real business problems across innovation and pilot initiatives. This role is highly hands-on and ownership-driven, with responsibility spanning concept, architecture, implementation, and production deployment.

You will operate with a high degree of independence, acting as an end-to-end engineer who translates business needs into scalable GenAI solutions. The role emphasizes application engineering, system design, and enterprise readiness, rather than traditional data science or model training.

Technologies of interest include (but are not limited to): large language models (LLMs), automation, cloud platforms, agentic workflows, solar PV, energy storage, transmission, and wind.

Key Responsibilities

• Design and deliver generative AI applications that address real operational and business challenges, from concept through production
• Translate business requirements into GenAI system architectures, selecting appropriate models, tools, and integration patterns
• Build and maintain full-stack applications, including LLM-powered tools, internal platforms, and APIs
• Implement LLM integrations using approaches such as RAG, prompt engineering, tool calling, and API-based workflows
• Balance rapid experimentation with enterprise-grade reliability, security, and governance
• Apply DevOps best practices to support CI/CD, monitoring, and scalable cloud deployments
• Collaborate with engineering, IT, and business stakeholders while owning technical execution independently
• Evaluate and prototype emerging GenAI tools and platforms for potential business impact
• Clearly communicate technical concepts, tradeoffs, and recommendations to non – technical stakeholders
• Stay current with evolving GenAI capabilities, internal initiatives, and industry trends

Required Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field from an ABET-accredited program
• 3–5+ years of professional experience in software engineering, AI engineering, or related roles
• Strong proficiency in Python
• Experience building and shipping production software systems
• Full-stack development experience (frontend and backend)
• Experience with cloud platforms (AWS, Azure, or GCP) and modern cloud architectures
• DevOps experience, including CI/CD pipelines, containerization, and deployment automation
• Experience designing and consuming APIs following industry best practices
• Proficiency with source control and collaboration tools (e.g., GitHub)
• Strong problem-solving, communication, and systems-thinking skills
• Ability to operate effectively and independently within a large, complex enterprise environment

Preferred Qualifications

• Hands-on experience building LLM-powered applications
• Experience with agentic or orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or similar)
• Experience with the energy sector, utilities, or industrial systems