Coditas

Gen AI Engineer-Node

Coditas · Pune, Maharashtra, India

IT Services and IT Consulting · 501-1,000 employees

19 h ago
Mid (2-5 yrs) Full-time India
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About the role

Develop and implement generative AI solutions using Node.js, focusing on prompt engineering and RAG workflows. Build and maintain scalable backend systems and RESTful APIs to support multimodal data processing.

What they look for

Node.js Generative AI Prompt Engineering RAG LLMs Vector Databases Express.js NestJS PostgreSQL MySQL Docker Multimodal AI RESTful APIs Asynchronous Programming Embeddings Unit Testing

Requirements

Requires 3-5 years of experience with proficiency in Node.js, backend frameworks, and relational/vector databases. Must have hands-on experience with LLMs, prompt optimization, and deploying AI models using Docker.

Full description

We are seeking a skilled Generative AI Engineer with a strong background in Node.js to join our dynamic team. In this role, you will integrate backend development expertise with the latest advancements in AI to create impactful solutions.

Roles and Responsibilities

Generative AI Development:

  • Apply prompt engineering techniques to design effective queries and ensure optimal responses from language models.
  • Develop and implement generative AI models using frameworks and tools relevant to Node.js environments.
  • Master advanced functionalities of large language models (LLMs), including prompt optimization, hyperparameter tuning, and response caching.
  • Implement Retrieval-Augmented Generation (RAG) workflows by integrating vector databases for efficient similarity searches.
  • Work with embeddings and build solutions that leverage similarity search for personalized query resolution.
  • Explore and process multimodal data, including image and video understanding and generation.
  • Integrate observability tools for monitoring and evaluating LLM performance to ensure system reliability

Pre-Event Preparation

  • Build and maintain scalable backend systems using Node.js frameworks such as Express.js or NestJS.
  • Design and implement RESTful APIs for seamless communication between systems and services.
  • Optimize database performance with relational databases (e.g., PostgreSQL, MySQL) and integrate vector databases (e.g., Pinecone, Weaviate, Supabase, PGVector) for advanced AI workflows.
  • Implement asynchronous programming and adhere to clean code principles for maintainable, high-quality code.
  • Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems.
  • Develop backend pipelines for handling multimodal data processing, supporting text, image, and video workflows.
  • Manage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems.
  • Leverage containerization tools such as Docker for efficient and reproducible deployments.
  • Ensure security and scalability of backend systems with adherence to industry best practices.

You Should Have

  • Strong programming skills with proficiency in Node.js and experience with backend frameworks like Express.js or NestJS.
  • Knowledge of generative AI frameworks and tools compatible with Node.js environments.
  • Experience with prompt engineering and Retrieval-Augmented Generation (RAG) workflows.
  • Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and vector databases (e.g., Pinecone, Weaviate, Supabase, PGVector).
  • Familiarity with large language models (LLMs), embeddings, and multimodal AI applications involving text, images, or video.
  • Proficiency in deploying AI models in production environments using Docker and managing pipelines for scalability and reliability.
  • Strong skills in writing and managing unit and integration tests, along with application debugging and performance optimization.
  • Understanding of asynchronous programming concepts for handling concurrent tasks efficiently.