Accolite - Lead Software Engineer - MERN Stack

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Description

About the Role :

We are seeking a highly skilled Lead Software Engineer with strong full-stack expertise (MERN) and hands-on experience in AI/ML, Conversational AI, cloud technologies, and scalable system design. The role involves leading development initiatives, architecting robust applications, integrating AI-driven capabilities, and mentoring junior engineers while collaborating with cross-functional teams.

Key Responsibilities / KRAs

  • Lead full-stack development using the MERN stack (MongoDB, Express.js, React, Node.js).
  • Architect, design, and implement scalable backend services and RESTful APIs.
  • Build, optimize, and maintain responsive, dynamic UI using React and modern CSS frameworks.
  • Integrate AI/ML workflows, including NLU, LLM-based solutions, and Generative AI techniques.
  • Develop and implement conversational AI solutions using Dialogflow CX, Lex, Kore.ai, or similar.
  • Design, refine, and optimize conversation flows for chatbot applications.
  • Lead prompt engineering efforts and implement Retrieval-Augmented Generation (RAG) pipelines.
  • Manage SQL and NoSQL database design, optimization, and performance improvements.
  • Troubleshoot complex system interactions, integrations, and data flows.
  • Deploy and manage cloud-native applications on Google Cloud or AWS.
  • Ensure high code quality through code reviews, testing strategies, and best development practices.
  • Collaborate with cross-functional teams for requirement gathering and solution design.
  • Analyze chatbot analytics and refine conversational models for effectiveness.
  • Mentor junior developers and contribute to technical planning and architectural decisions.

Required Skillsets

  • Strong hands-on experience in MERN stack (MongoDB, Express.js, React, Node.js).
  • Proficiency in Python and JavaScript.
  • Expertise in SQL (PostgreSQL/MySQL) and NoSQL databases.
  • Solid knowledge of RESTful APIs, integrations, and Webhooks.
  • Strong understanding of NLU, conversational AI tools (Dialogflow CX, Lex, Kore.ai).
  • Experience with LLM prompt engineering, RAG pipelines, and Generative AI concepts.
  • Proficiency in debugging, problem-solving, and real-time systems troubleshooting.
  • Cloud experience with Google Cloud (Cloud Run, GCF, Object Storage) or AWS (Lambda, EC2, S3).
  • Strong UI/UX mindset for conversation flow and chatbot design.
  • Familiarity with modern front-end build tools and performance optimization.
  • Ability to translate business requirements into scalable technical solutions.
  • Strong communication, analytical, and leadership skills.

Preferred Skills

  • Hands-on experience with chatbot analytics and performance tuning.
  • Experience designing scalable microservices.
  • Exposure to DevOps workflows and CI/CD.
  • Experience working with automation-driven and AI-enhanced development tools.
(ref:hirist.tech)

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