Engineer

Job Description

Software Engineer AI role designs, develops and deploys cutting-edge Decision Intelligence and AI-enabled products that transform healthcare delivery. This role directly impacts patient care, team member and patient experience, clinical and back-office operations, and the financial health of our system.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

Must Haves:

· Bachelor's degree, 6+ years of experience in full stack software engineering, AI/ML, or related fields.

Experience with or understanding of process for deploying AI/ML models to cloud platforms (e.g.,

AWS, GCP, Azure)

· Proficiency in at least one common programming language, such as Python or Java.

· Familiarity with modern AI concepts and patterns, such as Retrieval-Augmented Generation

(RAG) and working with LLM APIs.

· Designing and building user interfaces using HTML, CSS, and JavaScript frameworks like React

or Angular.

· Good understanding of cloud computing concepts, containerization (e.g., Docker), and DevOps

practices.

· Experience working with semi-structured file formats (e.g., JSON, XML) and NoSQL databases.

· Understanding layers of software stack including API design, development and production

deployment at scale.

· Familiarity with building data pipelines and working with large-scale structured and unstructured

data. Plusses:

· Experience developing prototypes and iterating on solutions.

· Experience with AI application frameworks (e.g., LangChain, LlamaIndex).

· Familiarity with Responsible AI principles, such as fairness, bias mitigation, and model

explainability.

· Familiarity with front-end development (HTML, CSS, JavaScript frameworks like React or

Angular).

· Experience in the healthcare industry or knowledge of HIPAA privacy and security rules.