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Salary
$138k – $287k per year (Estimated)
Location
Remote/Hybrid (San Francisco, United States, Auckland, New Zealand)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match

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

  • Lead the design, development, and deployment of complex web applications using Next.js and NestJS.

  • Develop robust and efficient backend services with Node.js, interacting with PostgreSQL databases.

  • Implement and maintain real-time messaging solutions.

  • Apply expertise in AI prompt engineering to optimize interactions with large language models.

  • Contribute to the training and fine-tuning of machine learning models.

  • Develop and integrate features related to embedding, chunking, and Retrieval Augmented Generation (RAG).

  • Write clean, maintainable, and well-documented code in TypeScript.

  • Collaborate closely with product managers, designers, and other engineers to define, design, and ship new features.

  • Mentor junior engineers and contribute to best practices within the team.

  • Participate in code reviews to ensure code quality and adherence to standards.

Required Skills and Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

  • 5+ years of experience as a JavaScript Engineer, with a focus on full-stack development.

  • Proficiency in TypeScript.

  • Strong experience with PostgreSQL.

  • Extensive experience with Next.js for front-end development.

  • Demonstrated experience with NestJS for backend development.

  • Proven experience with AI prompt engineering.

  • Familiarity with model training concepts and practices.

  • Experience implementing and managing real-time messaging systems.

  • Understanding and practical application of embedding and chunking techniques.

  • Experience with Retrieval Augmented Generation (RAG) implementation.

  • Solid understanding of software design principles, data structures, and algorithms.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication and interpersonal skills.

Preferred Qualifications

  • Experience with cloud platforms (AWS, Azure, GCP).

  • Familiarity with containerization technologies (Docker, Kubernetes).

  • Experience with testing frameworks (e.g., Jest, React Testing Library).

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