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AI Engineer II
JOB SUMMARY
Roles
ML/AI Engineer
Skills & Technologies
Languages:Python
ML/AI:OpenAILangChain
Cloud/DevOps:Docker
Tools:Git
Job details
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 educationThree (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 abilitiesKnowledge of healthcare and managed care is preferredCritical listening and thinking skillsStrong knowledge of best practices relative to application development or infrastructure standardsLicensure 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 requiredCompensation Range:$83,
000. 00 - $132,
800. 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 CultureCultivate PartnershipsDevelop Self and OthersDrive ExecutionInfluence OthersPursue Personal ExcellenceUnderstand the BusinessThis job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer.
We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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 educationThree (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 abilitiesKnowledge of healthcare and managed care is preferredCritical listening and thinking skillsStrong knowledge of best practices relative to application development or infrastructure standardsLicensure 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 requiredCompensation Range:$83,
000. 00 - $132,
800. 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 CultureCultivate PartnershipsDevelop Self and OthersDrive ExecutionInfluence OthersPursue Personal ExcellenceUnderstand the BusinessThis job description is not all inclusive. CareSource reserves the right to amend this job description at any time. CareSource is an Equal Opportunity Employer.
We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.
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CareSource United States