AI Engineer

Job Description

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 nontechnical

stakeholders

• Stay current with evolving GenAI capabilities, internal initiatives, and industry trends

Pay Rate: $40-50hr depending on experience

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• 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 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