Neos is seeking an AI Engineer to design, develop, and deploy intelligent solutions that harness big data infrastructure and cutting-edge AI frameworks, delivering production-grade, scalable AI web applications.
Requirements
- Proficiency in Python, Node.js, and React.js, with a strong background in backend services and data processing.
- Experience with cloud platforms (preferably Azure) and CI/CD pipelines.
- Solid understanding of authentication, authorization, and data protection best practices.
- Hands-on experience with generative AI frameworks and models (e.g., LangChain, OpenAI APIs).
- Familiarity with LLMs, vector databases, and retrieval systems.
- Programmatic integration with Microsoft 365 using Graph API and Entra ID Authentication.
- Exposure to containerization technologies such as Docker and Kubernetes.
Responsibilities
- Develop intelligent, self-service user experiences by integrating pre-trained LLMs (e.g., OpenAI, Claude) and machine learning frameworks into customer-facing applications.
- Design and implement end-to-end features for a chat-based data interaction platform.
- Build responsive, user-friendly front-end interfaces using modern frameworks such as React, Vue, or Streamlit.
- Develop scalable back-end services and APIs using Python (FastAPI, Flask) or Node.js.
- Enhance and maintain software systems supporting generative AI initiatives.
- Deliver full-stack AI-powered applications using Python and contemporary UI frameworks.
- Rapidly prototype, test, and iterate on AI tools with a focus on performance, flexibility, and scalability.
Other
- ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TX AREA WILL BE CONSIDERED
- Position is Hybrid – currently working onsite 3 days a week at 1900 Aldrich St, Austin, TX 78723
- Strong problem-solving abilities and effective communication skills.
- Collaborate with cross-functional teams to solve complex challenges and integrate scalable, cloud-based AI solutions.
- Maintain comprehensive technical documentation, conduct code reviews, and support the full software development lifecycle.
