AI Engineer

Responsibilities Kforce has a client in Draper, UT that is seeking an AI Engineer who will operate at the intersection of AI engineering and applied data science. The Engineer will design, build, and deploy machine learning, generative AI, and agentic AI systems that power real-world products and decision-making at scale. Duties: • Design, build, and optimize machine learning models, including classification, regression, clustering, and recommendation systems • Develop and productionize LLM-based solutions, including prompt engineering, retrieval-augmented generation (RAG) pipelines, fine-tuning, and multimodal models • Build and orchestrate agentic AI workflows (LangGraph or similar), including tool usage, decision logic, and long-running agent execution • Leverage AI-assisted development tools (e.g., Claude Code or similar) to accelerate software development, testing, and refactoring while maintaining high standards of quality and correctness • Design and implement modular sub-agents and reusable tools, applying strong software engineering and data science principles across the agent lifecycle (design, build, evaluate, deploy, iterate) • Apply embeddings and vector search techniques to enable NLP, semantic search, and retrieval use cases • Process and analyze large-scale datasets using Python (pandas, scikit-learn, PySpark) and SQL • Implement MLOps best practices, including CI/CD pipelines, model versioning, monitoring, evaluation, and reproducibility • Evaluate model and LLM performance in production using offline, online, and incremental evaluation strategies • Translate complex analytical results into clear, actionable insights for both technical and non-technical stakeholders • Stay current with emerging trends in AI, ML, generative AI, and agentic systems, and apply them pragmatically to business challenges Requirements • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field • 2+ years of hands-on experience in data science, machine learning engineering, or applied AI within a fast-paced, production-oriented environment • Advanced proficiency in Python, including experience with pandas, scikit-learn, and PySpark • Strong SQL skills for large-scale data analysis and feature engineering • Proven experience building, tuning, and evaluating machine learning models, with a solid understanding of evaluation metrics and tradeoffs • Experience with vector embeddings, similarity search, and retrieval pipelines • Practical experience with LLMs, including prompt engineering, API/SDK integration, multimodal models, and fine-tuning approaches • Hands-on experience with agentic development frameworks (LangGraph preferred or equivalent), including orchestration patterns, sub-agents, and tool integration • Experience using AI-assisted (-agentic coding-) development tools, with strong engineering judgment around correctness, testing, and maintainability • Understanding of the agentic software lifecycle, including evaluation, observability, failure modes, and iterative improvement in production environments • Familiarity with responsible AI principles, including bias, fairness, and governance in deployed systems • Ability to translate business problems into scalable AI/ML solutions and communicate effectively across technical and non-technical audiences • Familiarity with model deployment and MLOps practices, including CI/CD, monitoring, and reproducibility Nice To Have • Experience operating and scaling agentic AI systems in production environments • Background in recommendation systems, optimization, or decision intelligence • Experience building and delivering AI-powered products (beyond prototyping or research environments) 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. 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