AI Engineer II

• Define and oversee the architecture for Generative AI platforms, including LLMs, vector databases, and inference pipelines.
• Design and develop complex software systems, ensuring scalability, reliability, and maintainability.
• Develop and maintain a strong understanding of modern generative AI tools and concepts including OpenAI, Llama, Python, LangChain, vectorization, embeddings, semantic search, RAG, IaC, and Streamlit.
• Rapid development of proof of concepts to evaluate new technology or value adding concepts.
• Drive innovation and teamwork in a fast-paced, dynamic environment through a hands-on, imaginative approach and a self-motivated, curious mindset that explores the art of the possible.
• Embrace AI assisted software development including the use of GitHub Copilot and internally developed tools.
• Collaborate with leadership to systematically evaluate currently deployed services; develop and manage plans to optimize delivery and support mechanism.
• Apply creative thinking in problem solving and identifying opportunities for improvement.
• Identify technical risks and propose effective mitigation strategies to ensure project success.
• Collaborate with product managers to prioritize and schedule project deliverables based on business objectives and resource availability.
• Provide accurate and timely progress updates to project stakeholders, highlighting achievements, challenges, and proposed solutions.
• Stay up to date with the latest industry trends, technologies, and frameworks, and evaluate their potential application in the organization.
• Perform any other job related duties as requested.

• Bachelor's degree in computer science, Information Technology, or a related field required
• Equivalent years of relevant work experience may be accepted in lieu of required education
• Three (3) years of experience working in medium to large operating environment required
• Experience with Agile methodologies required
• Experience with cloud technologies including containers and serverless preferred

• Strong analytical, evaluative and problem-solving abilities
• Knowledge of healthcare and managed care is preferred
• Critical listening and thinking skills
• Strong knowledge of best practices relative to application development or infrastructure standards

• Cloud certification preferred

• General office environment; may be required to sit or stand for extended periods of time
• Travel is not typically required

Compensation Range:

CareSource takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition to base compensation, you may qualify for a bonus tied to company and individual performance. We are highly invested in every employee’s total well-being and offer a substantial and comprehensive total rewards package.

Compensation Type (hourly/salary):

Organization Level Competencies

• Fostering a Collaborative Workplace Culture

• Cultivate Partnerships

• Develop Self and Others

• Drive Execution

• Influence Others

• Pursue Personal Excellence

• Understand the Business