Job Description
A client of Insight Global is looking for an AI Software Engineer, you will be responsible for designing, developing, and deploying world-class Decision Intelligence and AI-enabled products for our customers.
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 HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Experience with AI/ML deployment, Agent deployment, LLM integration,Retrieval-Augmented Generation (RAG) patterns, cloud architecture, API integration, observability, and production readiness.
Experience with understanding the process for deploying AI/ML models to Azure cloud platform. Strong understanding of cloud computing, containerization, and DevSecOps practices
Proficient working with semi-structured file formats and NoSQL databases
Proficiency in at least one common programming language, such as Python or Java.
Experience with AI application frameworks (e.g., LangChain, LlamaIndex).
Need to know how to write code (will be asked this on the interview)
Familiarity with Responsible AI principles, such as fairness, bias mitigation, and model explainability.
Experience in the healthcare industry or knowledge of HIPAA privacy and security rules. (will stand out if they have rev cycle experience)
Design and implement scalable and efficient ML Ops pipelines for ingesting, processing, and storing large volumes of structured and unstructured data
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.