AI Engineer ll
Indexed description
- 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
- 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 system
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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