Agentic AI Developer

Responsibilities Kforce has a client in Schaumburg, IL that is looking for an AI Engineer with a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing applications and develop new solutions. The AI Engineer will play a key role in migrating and enhancing AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents. Responsibilities: Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning Work extensively with Large Language Models (LLMs) to build and refine AI-powered features Design, create, and deploy intelligent agents to automate and optimize processes Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (GCP) environment Engage in full-stack development, with a focus on Python for backend services and React for frontend interfaces Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases Requirements Bachelor's degree in Computer Science, Engineering, or a related field A minimum of 2-3 years of professional experience in an AI or Machine Learning engineering role. Experience with Python is a must Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems; Ability to stay up to date with new and upcoming technologies around AI development (ex: Agentic RAG) Strong proficiency in Python for backend development and machine learning Solid experience with React for frontend development Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL Hands-on experience with GCP AI/ML services, including BigQuery, Google SQL and other technologies and APIs within GCP Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment Experience in taking over existing AI/ML applications from other teams Estimate at a high level cost of usage in GCP for applications hosted/deployed Familiar with functional and non-functional testing of AI/ML applications and operationalizing it in production 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. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. #J-18808-Ljbffr Kforce Inc