AI Developer

CareSource; Kentucky; Hybrid; USD 94,000 - 165,000; Full time

Job summary

CareSource is seeking an AI Developer to design, develop, and deploy intelligent AI solutions that address complex business challenges. You will work with cross-functional teams to deliver production-ready AI systems.

The role emphasizes Generative AI platforms, MLOps, cloud deployment, and rapid prototyping with a strong Python + ML toolkit. A strong background in Python and Agile practices is required.

Qualifications

• Bachelor's degree required; Master's preferred; 5+ years AI/ML dev & deployment experience.
• Experience with cloud platforms (AWS/Azure/GCP) and MLOps tools.
• Experience with Agile methodologies.

Responsibilities

• Design and implement AI models and algorithms for business challenges.
• Define and lead architecture of Generative AI platforms (LLMs, vector stores, pipelines).
• Prototype PoCs for emerging AI technologies and ideas.
• Collaborate with data scientists, engineers, and product teams to productionize AI capabilities.
• Develop and maintain MLOps pipelines for training, deployment, monitoring, and lifecycle.
• Stay current with industry trends and document workflows and code.

Skills

Python programming

AI/ML modeling

Cloud platforms

MLOps

Agile methodologies

Data analysis

Education

Bachelor's degree in CS/Data Science/AI

Master's degree preferred

Tools

TensorFlow

PyTorch

Scikit-learn

OpenCV

Job description

Job Summary

The AI Developer plays a key role in designing, developing, and deploying intelligent solutions. This role is focused on solving complex business challenges through innovative AI technologies and will collaborate closely with cross-functional teams to ensure timely and high-quality delivery of solutions aligned with defined objectives.

Essential Functions

• Design and implement AI models and algorithms tailored to diverse business challenges
• Define and lead the architecture of Generative AI platforms, including large language models (LLMs), vector databases, and inference pipelines
• Maintain deep expertise in modern generative AI technologies such as Knowledge Graphs, OpenAI, LLaMA, Python, LangChain, vectorization, embeddings, semantic search, Retrieval-Augmented Generation (RAG), Infrastructure as Code (IaC), and Streamlit
• Rapidly prototype proof-of-concept solutions to assess emerging technologies and innovative ideas
• Foster innovation and collaboration in a fast-paced environment through a hands-on, imaginative approach and a self-driven, inquisitive mindset
• Leverage AI-assisted development tools, including GitHub Copilot and internally developed solutions, to enhance productivity
• Apply creative problem-solving techniques to identify and implement process improvements
• Assess technical risks and develop effective mitigation strategies to ensure successful project delivery
• Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into production-ready systems
• Partner with leadership to evaluate existing services and develop strategies to optimize delivery and support
• Perform data preprocessing and analysis on large datasets to uncover actionable insights
• Train, validate, and fine-tune machine learning and deep learning models for optimal performance
• Deploy models using cloud infrastructure and containerization technologies such as Docker and Kubernetes
• Implement and manage MLOps pipelines to automate model training, deployment, monitoring, and lifecycle management
• Apply AIOps practices to enhance operational efficiency, automate incident detection, and optimize system performance using AI-driven insights
• Continuously monitor model performance and retrain as needed to maintain accuracy and relevance
• Stay current with industry trends, tools, and frameworks, and assess their applicability to organizational goals
• Document workflows, models, and codebases to support maintainability and knowledge sharing
• Provide timely and transparent progress updates to stakeholders, highlighting key milestones, challenges, and proposed solutions
• Perform any other job duties as requested

Education and Experience

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence or related field, or equivalent years of relevant work experience is required. Master's degree is preferred. Minimum of five (5) years of experience in developing and deploying AI/ML models is required. Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools is required. Experience with Agile methodologies is required.

Competencies, Knowledge, and Skills

• Knowledge of model interpretability and ethical AI practices
• Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV
• Strong analytical, evaluative and problem-solving abilities
• Strong understanding of data structures, algorithms, and software engineering principles
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration abilities
• Knowledge of healthcare and managed care

Preferred Licensure and Certification

• AI / Data Science certifications or credentials are preferred

Working Conditions

General office environment; may be required to sit or stand for extended periods of time. Occasional travel may be required to meet with stakeholders and development teams.

Compensation Range

$94,100.00 - $164,800.00

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): 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

Equal Opportunity

CareSource is an Equal Opportunity Employer. We are dedicated to fostering an environment of belonging that welcomes and supports individuals of all backgrounds.

Company Culture

The CareSource mission is known as our heartbeat. Just as we support our members to be the best version of themselves, our employees are driven by our mission to create a better world for members, stakeholders and providers. We are difference-makers who combine compassionate hearts with our unique business expertise to make every opportunity count. Each claim, each phone call, each consumer-centric decision is a chance to change the world for one member, and our employees look for ways to do that every day. The challenge is, there is no one right way to be the difference and we're looking for people like you that will rewrite that definition every day. We do what it takes to form creative solutions that make our community and the world just a little better. Discover what it means to be #UniquelyCareSource.