Javascript Engineer
Posted 14 Oct 2025
Advertised as “Senior Javascript Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Software Engineering (or related)
Study levelBachelor's
You will need a strong background in modern JavaScript frameworks and a deep understanding of full-stack development. You will be instrumental in designing, developing, and maintaining scalable and high-performance applications, with a particular focus on integrating cutting-edge AI capabilities.
Responsibilities
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Lead the design, development, and deployment of complex web applications using Next.js and NestJS.
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Develop robust and efficient backend services with Node.js, interacting with PostgreSQL databases.
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Implement and maintain real-time messaging solutions.
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Apply expertise in AI prompt engineering to optimize interactions with large language models.
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Contribute to the training and fine-tuning of machine learning models.
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Develop and integrate features related to embedding, chunking, and Retrieval Augmented Generation (RAG).
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Write clean, maintainable, and well-documented code in TypeScript.
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Collaborate closely with product managers, designers, and other engineers to define, design, and ship new features.
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Mentor junior engineers and contribute to best practices within the team.
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Participate in code reviews to ensure code quality and adherence to standards.
Required Skills and Qualifications
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Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
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5+ years of experience as a JavaScript Engineer, with a focus on full-stack development.
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Proficiency in TypeScript.
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Strong experience with PostgreSQL.
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Extensive experience with Next.js for front-end development.
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Demonstrated experience with NestJS for backend development.
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Proven experience with AI prompt engineering.
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Familiarity with model training concepts and practices.
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Experience implementing and managing real-time messaging systems.
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Understanding and practical application of embedding and chunking techniques.
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Experience with Retrieval Augmented Generation (RAG) implementation.
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Solid understanding of software design principles, data structures, and algorithms.