Software Engineers - AI / Agentic AI Engineer
Temporary
Kforce has a client in Tampa, FL that is seeking Software Engineers - AI / Agentic AI Engineer. Responsibilities:
- Build and support scalable, production-ready software and AI-enabled applications
- Develop solutions using Python and/or Java, SQL, APIs, microservices, and cloud technologies
- Design and implement Generative AI applications, including LLM-based solutions, RAG, embeddings, and vector search
- Create AI agents and automated workflows that integrate with enterprise applications, databases, APIs, and developer tools
- Apply prompt engineering, context management, tool calling, orchestration, and validation techniques
- Optimize applications and data services for performance, reliability, security, and scalability
- Implement automated testing, CI/CD, containerization, monitoring, and operational support practices
- Partner with architecture, data, infrastructure, and product teams to deliver enterprise solutions
- Use AI-assisted development tools throughout requirements, design, coding, testing, debugging, and documentation
- Bachelor's degree or higher in Computer Science, Engineering, or a related technical field
- 5+ years of professional software engineering experience
- Experience building and supporting cloud-based, distributed, and data-intensive applications
- Hands-on experience developing solutions with Generative AI and large language models
- Experience designing AI agents, including tool calling, orchestration, memory/context handling, and error recovery
- Experience with AWS, Snowflake, Spark, Kubernetes/OpenShift, or similar enterprise technologies is beneficial
- Practical experience using AI coding assistants such as Claude or Kiro
- Strong development skills in Python and/or Java with advanced SQL knowledge
- Knowledge of RAG, embeddings, vector databases/search, prompt engineering, and LLM integrations
- Strong understanding of REST APIs, microservices, event-driven architecture, Git, automated testing, CI/CD, and containers
- Understanding of AI security, governance, observability, DevSecOps, and production support practices
- Strong problem-solving, communication, collaboration, and technical leadership skills
Vacancy posted 6 days ago
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