Coding (writing, reviewing, testing, deploying) as hands-on development is at the heart of what we do.
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 AI best practices and governance frameworks to ensure effective and ethical AI usage.
Shape the 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.