Artificial Intelligence (AI) Engineer
- Develop and Innovate: Design, write and deploy code for new system architectures, using libraries like LangChain for local LLMs and Milvus/Chroma/Pinecone for vector search to improve user functionality and efficiency with large, local datasets.
- Build ML Systems: Design, develop, implement, optimize, secure, and test unsupervised ML algorithms and related software to generate summaries, recommendations, and references from large datasets.
- Follow Best Practices: Maintain and champion best practices in software development, including coding standards, documentation, and smooth deployment processes.
- Evaluate Models: Design and construct pipelines for data preparation, model training, deployment, and monitoring, prioritizing deployable and efficient applications.
- Collaborate and Share Knowledge: Actively participate in technical and product discussions, sharing knowledge and ideas with colleagues across various departments within the company.
- Execute Continuous Integration/Continuous Development (CI/CD): Automate the build, test, and deployment of software; integrating version control, conducting automated testing, and ensuring secure, reliable, and frequent releases to production.
- Travel Requirements: Engage in minimum travel for purposes like onboarding, corporate training, and other essential corporate activities.
- Educational Background: Must have a degree in Computer Science, AI or Software Engineering, Applied Mathematics, or a related technical field.
- Technical Proficiency: Demonstrable skills in coding, data management, and software workflows. Must possess a strong understanding of algorithms and data structures.
- Programming Experience: Extensive experience with Python, use of containers, version control, backend APIs, ML and generative AI libraries (such as, but not limited to, Ollama, LangChain, Milvus, Chroma, Pinecone), and data management techniques.
- Communication Skills: Strong oral and written communication abilities are required to effectively discuss technical concepts with both technical and non-technical colleagues.
- Learning and Adaptability: A strong desire to learn, experiment with new technologies, and continuously stretch existing skills.
- Security and Citizenship: Must be a US citizen and possess an active Secret security clearance, with the eligibility to obtain a Top Secret clearance.
- Experience with User-Centric Products: Demonstrated experience implementing products that enhance user experience, particularly in contexts involving machine learning applications, generative AI, data visualization, and search optimizations.
- Cloud Certifications: Possession of certifications in AI and cloud-native technologies.
- Competitive pay based on the work you do here and not your previous salary.
- Traditional benefits such as medical, dental, vision, life, disability, and 401k matching.
- Paid leave and the ability to cash out leave.
- Free access to certified financial planners, wellness and support services, and discount programs.
- Education assistance and professional development opportunities.
- And much more.
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