Senior Javascript Engineer
Summary
Build and maintain full-stack web apps using Next.js and NestJS with Node.js and PostgreSQL, while integrating AI features like prompt engineering, RAG, and real-time messaging.
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).