AI Systems Engineer

Kforce has a client that is seeking a Senior AI Systems Engineer in Atlanta, GA., The Senior AI Systems Engineer is a technically sophisticated individual contributor responsible for designing, developing, and deploying agentic AI tools and autonomous workflows that eliminate manual bottlenecks and unlock operational leverage across the organization. This role sits at the intersection of software engineering and AI/LLM architecture-translating complex business processes into intelligent, self-executing systems. The AI Systems Engineer brings deep engineering instincts to a fast-evolving toolset, building solutions that are not only functional but observable, maintainable, and aligned to strategic priorities.

How You Will Make an Impact:

• Design and develop agentic AI workflows using LLM orchestration frameworks while implementing planning, reflection, and tool-use patterns
• Architect and build system integrations connecting AI agents to internal APIs, databases, and third-party SaaS platforms
• Develop and maintain Human-in-the-Loop (HITL) checkpoints and escalation logic to surface agentic decisions for human validation
• Implement observability and feedback loops within deployed agents to capture performance signals, exception rates, and decision traces
• Analyze existing technical workflows to identify automation opportunities and produce engineering-ready specifications
• Contribute to documentation standards for agentic systems including technical specs, architecture diagrams, and runbooks
• Partner with internal stakeholders to translate operational pain points into technical requirements
• Conduct all business in accordance with company policies and procedures
• Perform all other duties as assigned

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field preferred
• Typically requires a minimum of 3 years of related experience with a Bachelor's degree or 2 years with a Master's degree
• Preferred: 3+ years in software or systems engineering with at least 1 year focused on LLM-based automation or agentic system design
• Proficiency in Python and at least one LLM orchestration framework such as LangChain, LlamaIndex, or CrewAI
• Strong API integration skills across REST and GraphQL including comfort with various authentication patterns
• Working knowledge of prompt engineering, retrieval-augmented generation (RAG), and tool/function calling patterns
• Experience with SQL and NoSQL databases including schema design for agentic memory and state management
• Familiarity with cloud environments and deployment patterns for AI workloads
• Version control proficiency using Git with disciplined branching and documentation practices
• Ability to decompose complex processes into discrete and testable automation components
• Experience designing observability into systems including logging, alerting, and performance tracking
• Ability to communicate technical architecture and tradeoffs clearly to non-technical stakeholders
• Comfort working across functions to gather requirements and iterate on agent behavior

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.