Gen AI Engineer-Node

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Gen AI Engineer-Node

Coditas

Location

Pune, Maharashtra, India

Experience

Mid

Posted

Jul 18, 2026

Apply by

August 17, 2026

Applicants

0

Early applicantEasy applyFull-timeWork from Office

Job 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.

Key Responsibilities

  • Apply prompt engineering techniques to design effective queries for language models.
  • Develop and implement generative AI models using Node.js frameworks.
  • Master advanced functionalities of large language models including prompt optimization and hyperparameter tuning.
  • Implement Retrieval-Augmented Generation (RAG) workflows by integrating vector databases.
  • Build and maintain scalable backend systems using Node.js frameworks like Express.js or NestJS.
  • Design and implement RESTful APIs for seamless system communication.
  • Optimize database performance with relational databases and integrate vector databases.
  • Implement asynchronous programming and adhere to clean code principles.
  • Integrate third-party SDKs and APIs for robust interoperability.
  • Develop backend pipelines for handling multimodal data processing.
  • Manage and schedule background tasks using tools like Celery or cron jobs.
  • Leverage containerization tools such as Docker for efficient deployments.
  • Ensure security and scalability of backend systems.

Skills Required

Node.jsExpress.jsNestJSGenerative AIPrompt EngineeringRetrieval-Augmented Generation (RAG)Large Language Models (LLMs)PostgreSQLMySQLPineconeWeaviateSupabasePGVectorDockerRESTful APIsAsynchronous ProgrammingUnit TestingIntegration TestingPerformance OptimizationProblem solvingAttention to detail

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