Senior AI/ML Engineer

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October 15

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Career TEAM

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B2B • Education • Non-profit

Career TEAM is a workforce services provider that focuses on addressing complex social challenges such as reducing unemployment and eradicating poverty. They utilize both high-touch and high-tech solutions, including their innovative software, Career EDGE, to enhance career services and support job seekers across the United States. With over 1 million job seekers served, Career TEAM partners with government organizations and workforce development boards to deliver case management, training, and business services, helping people find meaningful employment and advance in their careers.

201 - 500 employees

Founded 1996

🤝 B2B

📚 Education

🤝 Non-profit

📋 Description

• Help build our AI platform using MongoDB and Nest.js. • On any given day, you’ll be coding (writing, reviewing, testing, deploying). • Participate in regular Scrum ceremonies and work closely with the team to integrate AI capabilities (including LLMs, agents, and vector search) seamlessly into our application. • Help define our AI best practices and governance frameworks to ensure our AI usage is both effective and ethical. • Opportunity to shape our platform’s direction and experiment with new ideas.

🎯 Requirements

• Bachelor’s degree (or equivalent) in computer science, information technology, or engineering; • 5+ years of experience developing with TypeScript stack or equivalent; • 2+ years of experience productionizing LLMs for RAG, Agents, and Multi-Modal Systems. • Strong analytical & problem-solving skills, effective collaboration & communication skills; • Experience with LLM agents, fine-tuning, multi-modal models, and prompt engineering; • Solid foundation in AI theory and foundational concepts, such as basic linear algebra concepts (vectors, vector spaces), dimensionality reduction techniques, and model evaluation methods. • Familiarity with the computational complexity of vector search, tokenization, embedding generation, and large-scale model inference. • Exposure to VSCode, Postman, GitHub, Vector Databases, and Docker; • Exposure to building end-to-end systems optimized for speed and scale; • Exposure to React/Next, Express/Nest, MongoDB, NodeJS, and TypeScript; • Exposure to developing & deploying RESTful APIs.

🏖️ Benefits

• Commitment to ethical AI practices and compliance with AI governance standards