Note: The job is a remote job and is open to candidates in USA. Kforce Inc is seeking a Remote AI/LLM Engineer to support AI-enabled products and platform capabilities. The role involves designing and maintaining backend services, developing APIs, and collaborating with teams to enhance AI solutions.
Responsibilities
- Design, develop, and maintain scalable backend services that support AI-enabled products and platform capabilities
- Build and enhance internal frameworks for LLM orchestration, prompt lifecycle management, and autonomous agent workflows
- Architect systems that manage conversational context, state persistence, AI reasoning workflows, and decision-making processes
- Develop robust APIs and data models that enable seamless integration of AI services across multiple applications
- Ensure AI services meet production requirements for performance, reliability, observability, scalability, and cost optimization
- Improve and modernize existing AI infrastructure to support increased usage and evolving business needs
- Collaborate with engineering, product, and platform teams to embed AI capabilities into customer-facing and internal solutions
- Define and promote reusable architectural patterns, shared services, and best practices for AI development
- Lead technical discussions, design reviews, and implementation planning efforts
- Mentor junior engineers and contribute to a culture of technical excellence, innovation, and continuous learning
- Support recruiting efforts through candidate evaluation and technical interviewing
- Identify process improvements and contribute to increased team effectiveness and engineering efficiency
Skills
- Bachelor's degree in Computer Science, Software Engineering, or related field; Equivalent experience considered
- 3+ years of professional software engineering experience in an Agile development environment
- 1+ year of Professional experience designing, deploying, and supporting AI-powered solutions in production
- 1+ year Experience designing and implementing RESTful APIs and distributed services
- 1+ year of Demonstrated experience building or integrating LLM-based capabilities into commercial software products
- Strong understanding of LLM architecture, including context management, orchestration strategies, evaluation methodologies, and prompt engineering
- Hands-on experience with LLM APIs, agent frameworks, conversational AI systems, or intelligent workflow automation
- Proficiency in Python and modern software development practices
- Experience working with backend frameworks such as Django, Flask, FastAPI, or similar technologies
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Experience implementing monitoring, alerting, logging, and observability practices for production systems
- Strong analytical, problem-solving, and communication skills
- Ability to influence technical decisions through collaboration, consensus building, and leadership
Benefits
- Medical/dental/vision insurance
- HSA
- FSA
- 401(k)
- Life, disability & ADD insurance to eligible employees
- Salaried personnel receive paid time off
- Hourly employees on a Service Contract Act project are eligible for paid sick leave
Company Overview
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