AI Engineer

RESPONSIBILITIES:
Kforce has a client in Orlando, FL that is seeking an AI Engineer.

Summary:
We are seeking an experienced AI Engineer to join a small, high-impact team building and operating internal web applications powered by Large Language Models (LLMs). This is a hands-on, full-time engineering role focused on backend-heavy development, AI orchestration, and cloud-native delivery, with selective full-stack contributions as needed.
You will work closely with a senior technical lead, executing from a prioritized JIRA backlog and serving as a key technical contributor across integrations, GenAI agents, and data-driven features. This role is designed to increase overall team capacity by taking ownership of core engineering execution, enabling greater stakeholder engagement and roadmap progress.

Responsibilities:
* Design, implement, and maintain LLM-enabled services, including prompt orchestration, tool/function calling, and agent workflows
* Develop retrieval-augmented generation (RAG) pipelines and agent-based systems on top of integrated enterprise data sources
* Integrate with enterprise and private LLM inference endpoints using standard client libraries and SDKs
* Build and maintain backend services using Python and FastAPI, with a strong focus on business logic, integrations, and reliability
* Implement and optimize data access layers using SQL, async database patterns, and ORM frameworks (e.g., SQLAlchemy)
* Contribute to TypeScript/React front-end development as needed to support AI workflows and internal user experiences
* Work with large datasets (e.g., pricing, performance, operational data) to power analytics, model context, and AI agent behavior
* Apply practical machine learning and data analytics techniques where they enhance insight generation and automation outcomes

REQUIREMENTS:
* Demonstrated professional experience delivering production-grade software systems (non-entry-level)
* Cloud, CI/CD, and operational excellence
* Expert-level Python experience, including API and service development with FastAPI and async patterns
* Proven experience implementing LLM-based solutions in real-world applications (prompt engineering, orchestration, RAG, evaluation)
* Strong working knowledge of SQL, relational data modeling, and query optimization
* Experience building and supporting integration-heavy systems with multiple upstream/downstream dependencies
* Practical experience with cloud-native development, including containers and deployment workflows
* Ability to work effectively from a JIRA backlog, communicate progress clearly, and deliver iteratively in a small team

Preferred Qualifications:
* Hands-on experience administering or supporting Kubernetes environments
* Experience with infrastructure-as-code (e.g., Azure Bicep, Terraform, or similar)
* Familiarity with federated authentication / SSO (OAuth2, OIDC, enterprise identity providers)
* Solid experience with TypeScript and React beyond basic UI updates
* Exposure to machine learning libraries (e.g., PyTorch) and/or data processing tools (e.g., NumPy)
* Experience implementing observability standards (logging, metrics, monitoring dashboards)

Work Arrangement & Schedule:
* Full-time: 40 hours per week
* Hybrid model: A minimum of 24 hours per week onsite, with the remaining hours worked remotely
* Onsite days are coordinated to support close collaboration with the technical lead and broader stakeholders

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

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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