Job Summary:
The AI Engineer II is responsible for software development related to generative AI solutions. The role will work closely with cross-functional teams to ensure the successful delivery of solutions within the defined scope, timeline, and quality standards.
Essential Functions:
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.
Education and Experience:
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
Competencies, Knowledge and Skills:
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
Licensure and Certification:
Cloud certification preferred
Working Conditions:
General office environment; may be required to sit or stand for extended periods of time
Travel is not typically required
Compensation Range:
$81,400.00 - $130,200.00CareSource 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):
SalaryOrganization Level Competencies
Fostering a Collaborative Workplace Culture
Cultivate Partnerships
Develop Self and Others
Drive Execution
Influence Others
Pursue Personal Excellence
Understand the Business