AI Engineer

Fullstack AI Engineer
Required 3 days onsite
Location: Charlotte, NC - local candidates
Glider: ID verification
Start: May
• MUST PUT CURRENT AND INTENDED LOCATION ON RESUME
• MUST SUBMIT AT THE CORRECT RATE FOR THE LOCATION
• ***four candidates submittal per supplier. Additional spots will not be provided for rejected candidates***

Position Summary
We are seeking a highly skilled FullStack AI Engineer to design, develop, and deploy AIpowered applications. The ideal candidate will have handson experience integrating AI/ML models-particularly LLMs-into production systems, along with strong frontend and backend engineering capabilities.

Key Responsibilities
Design, build, and maintain endtoend AI-driven applications, including user interfaces, APIs, and data pipelines.
Integrate large language models (OpenAI, Azure OpenAI, opensource LLMs) into products or internal systems.
Develop scalable backend services using technologies such as Python, Node.js, .NET, or Java.
Build responsive and intuitive front-end interfaces using React, Angular, or similar frameworks.
Architect and implement vector databases, embeddings, and retrievalaugmented generation (RAG).
Implement prompt engineering, evaluation, and optimization of AI models.
Collaborate with cross-functional teams (product, data, cloud, architecture) to deliver productiongrade AI solutions.
Own CI/CD pipelines, testing frameworks, and deployment processes (Azure, AWS, GCP).
Ensure security, privacy, and compliance for AI systems handling sensitive data.

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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:


Required Skills & Experience

Required Qualifications

5+ years of experience in software engineering (fullstack).
Strong proficiency in front-end technologies (React, Angular, TypeScript).
Strong backend development skills in Python, Node.js, .NET, or Java.
Hands-on experience integrating LLMs or ML models into applications.
Experience with cloud-native development (Azure preferred if relevant to your org).
Proficiency with vector DBs (Pinecone, Chroma, Redis, Cosmos DB with vectors).
Solid understanding of REST APIs, GraphQL, microservices, and event-driven architecture.
Knowledge of ML lifecycle tools (LangChain, Semantic Kernel, Prompt Flow, etc.).


Nice to Have Skills & Experience

Desired Qualifications
Experience with RAG systems, embeddings, and finetuning LLMs.
Experience with MLOps or AI Ops.
Familiarity with enterprisegrade security and governance around AI adoption.
Prior experience building internal AI agents, copilots, or workflow automation systems.


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.