Senior Software Engineer – Ai Tooling
2 months ago
Lead and Own Projects: Architect, build, and deliver medium-sized AI tooling projects end-to-end, covering front-end, back-end, and system design.-
Full-Stack Development: Build features from scratch using front-end and back-end technologies, including React, Node.Js, and PostgreSQL, to improve platform usability.-
Team Leadership: Serve as the technical lead (TL) for junior engineers, guiding them through project development and helping them grow in their roles.-
Collaborate with Cross-Functional Teams: Work closely with product, design, and research teams to iterate on new features and enhance the user experience for our AI tooling platforms.-
Drive Quality and Scalability: Ensure our data collection and AI systems are robust, scalable, secure, and optimized for performance.-
Mentorship and Best Practices: Establish and promote best practices in software development, ensuring code quality and fostering a collaborative team culture.-
Innovation: Contribute to brainstorming sessions, propose innovative ideas, and implement solutions that push the boundaries of AI systems development.Required Skills and Qualifications-
Experience: 5+ years of full-stack software development experience, with a focus on building end-to-end solutions.Fast prototype: Able to get MVP out quickly. Prefers a quick development cycle with fast feedback instead of building for perfection.-
Tech Stack:-
Languages: Proficiency in Typescript and Python.-
Frameworks: Strong experience with React and Node.Js frameworks such as Nest.Js, etc. .-
Database: Hands-on experience with PostgreSQL or similar relational databases.-
Leadership: Previous experience as a technical lead or mentoring junior engineers on medium-sized projects.-
System Design: Proven ability to design scalable and secure systems, ensuring quality and performance at scale.-
Problem-Solving: Excellent debugging and testing skills with a strong ability to troubleshoot complex systems.-
Collaboration: Strong communication and collaboration skills with the ability to work across teams and departments.-
Innovation and Initiative: Enthusiasm for contributing innovative ideas and bringing them to life in a fast-paced environment.Nice to Have-
Experience with LLM (prompt engineering, etc), machine learning, or data collection platforms.-
Familiarity with building tools to support human operations in AI research environments.-
A passion for AI-driven innovation and curiosity about the future of AI systems development.
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