Full Stack AI Engineer - Mid Level

DescriptionKforce's client is seeking an experienced Full Stack AI Engineer to support the development of innovative, AI-powered applications and solutions. The ideal candidate is a self-motivated, hands-on engineer who thrives in a fast-paced environment and can independently deliver high-quality, production-ready solutions. This role will last 6 months, with potential for conversion to full-time employment. This position offers the opportunity to contribute to high-priority AI initiatives, leveraging modern full stack technologies, generative AI capabilities, and cloud infrastructure.Key Responsibilities:* Design, develop, and deploy AI-powered applications and features using model APIs* Build and maintain full stack applications using Python, JavaScript, TypeScript, React, HTML, and CSS* Explore and implement AI agents, agentic frameworks, and tool-calling capabilities* Develop effective prompt and context designs, structured outputs, and solutions grounded in trusted information* Integrate retrieval-augmented generation (RAG), semantic search, and knowledge bases into AI applications* Implement automated testing, AI evaluation methodologies, and production-quality engineering practices* Develop and maintain scalable cloud-based solutions leveraging AWS services* Support infrastructure automation, CI/CD pipelines, and DevOps best practices* Monitor, troubleshoot, and optimize applications using logs, metrics, and distributed tracing* Incorporate security, data privacy, access controls, and responsible AI principles throughout the development lifecycle* Collaborate with engineering teams and stakeholders to deliver reliable, high-quality solutionsRequirements* Hands-on experience developing AI-powered applications or features using model APIs* Strong programming experience with Python, JavaScript, and TypeScript* Experience developing modern web applications using React, HTML, and CSS* Understanding of prompt engineering, context design, structured outputs, and AI response grounding* Familiarity with AI agents, agentic frameworks, and tool calling* Knowledge of modern software engineering practices, automated testing, and application troubleshooting* Experience working with cloud technologies and CI/CD processes* Strong problem-solving abilities, communication skills, and a demonstrated ability to work independently* Ability to quickly learn new technologies and deliver high-quality solutions in a collaborative engineering environmentPreferred Qualifications:* Experience with retrieval-augmented generation (RAG), Model Context Protocol (MCP), semantic search, and knowledge bases* Familiarity with AI evaluation frameworks and testing methodologies* Experience with AWS services, including Bedrock, AgentCore, ECS, EKS, and MSK* Experience with Terraform or other infrastructure-as-code technologies* Familiarity with observability tools, including logging, metrics, and tracing* Understanding of AI security considerations, including prompt injection, data privacy, and access managementAdditional Information:Candidates are not expected to have experience with every technology listed. Equivalent technical experience, strong engineering fundamentals, and a demonstrated ability to learn and adapt to emerging AI technologies are highly valued.Job TypeContractCompensation52 - $62