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Lead Backend Engineer - Node.js/Express.js

7 - 10 years

0 Lacs

Hyderabad Telangana India

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

node.js ai chatbot development scaling power design architecture integration openai engineering ml code tuning api reliability management dialogflow rasa websockets retrieval aws gcp scalability communication leadership

Work Mode

On-site

Job Type

Full Time

Job Description

We are looking for a highly experienced Lead Backend Engineer with a strong background in Node.js and deep expertise in Generative AI, LLMs (Large Language Models), and Chatbot development. You will play a key role in designing, developing, and scaling backend systems that power AI-driven applications and conversational interfaces.

Responsibilities

  • Design and develop scalable backend services and APIs using Node.js and modern frameworks (e. g., Express, NestJS).
  • Lead the architecture and integration of LLMs (OpenAI, Anthropic, open-source models) into production applications.
  • Work on prompt engineering to fine-tune LLM outputs for specific business tasks.
  • Build and optimize chatbot platforms and conversational AI pipelines.
  • Collaborate with AI/ML engineers, frontend developers, product managers, and designers to
deliver robust AI-driven features.
  • Guide and mentor a team of engineers through best practices in backend engineering, code quality, and system design.
  • Implement observability, performance tuning, and API reliability measures.
  • Stay up to date with advancements in GenAI, NLP, and emerging LLM capabilities.

Requirements

  • 7-10 years of backend development experience with a strong foundation in Node.js .
  • Proven experience in building and deploying applications using LLMs and Generative AI (OpenAI, Claude, Llama, etc. ).
  • Solid understanding of Prompt Engineering, prompt tuning, and context management for
LLMs.
  • Experience with chatbot frameworks (Dialogflow, Rasa, Botpress, or custom solutions).
  • Strong knowledge of RESTful APIs, WebSockets, and asynchronous programming.
  • Familiarity with vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG).
  • Proficiency in working with cloud platforms (AWS/GCP/Azure).
  • Strong understanding of system design, architecture patterns, and scalability principles.
  • Excellent problem-solving, communication, and leadership skills.
(ref:hirist.tech)

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