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Backend Heavy Engineer – Java + Chatbot
Leadsquared
Backend Heavy Engineer – Java + Chatbot
Right Hire's logo

Backend Heavy Engineer – Java + Chatbot

at Leadsquared

Agency job
4 - 6 yrs
₹25L - ₹45L / yr
Bengaluru (Bangalore)
Skills
skill iconJava
skill iconSpring Boot
Microservices
Large Language Models (LLM)

About the Role

LeadSquared is looking for a Backend Heavy Engineer with strong expertise in Java backend development and hands-on experience working with chatbots / conversational systems.

The ideal candidate should have a strong foundation in backend engineering, distributed systems and API development, along with exposure to building or integrating chatbot, conversational AI or messaging-based solutions.

Key Responsibilities

  • Design, develop and maintain scalable backend services and APIs using Java.
  • Build high-performance, reliable and secure microservices-based applications.
  • Develop and integrate chatbot / conversational platforms with backend systems.
  • Work on chatbot workflows, conversation flows, APIs, integrations and business logic.
  • Integrate backend services with LLM/AI-powered conversational systems, where required.
  • Build RESTful APIs and integrations with internal and third-party platforms.
  • Work with databases, caching, queues and distributed systems to support scalable applications.
  • Troubleshoot performance, reliability and production issues.
  • Collaborate with Product, AI/ML, Frontend and Engineering teams to deliver end-to-end solutions.
  • Participate in architecture discussions, code reviews and technical design.
  • Write clean, maintainable and well-tested production-grade code.

Must-Have Skills

  • 4–6 years of strong backend development experience.
  • Strong hands-on experience with Java, Spring Boot and REST APIs.
  • Good understanding of Microservices architecture.
  • Experience with SQL databases such as MySQL/PostgreSQL.
  • Good understanding of data structures, algorithms and object-oriented programming.
  • Hands-on experience with chatbots, conversational applications, chatbot frameworks or messaging platforms.
  • Experience integrating chatbot systems with backend APIs/services.
  • Understanding of asynchronous processing, queues and event-driven architecture.
  • Good understanding of Git, CI/CD and production deployment practices.

Good to Have

  • Experience with Generative AI / LLM-based chatbots.
  • Exposure to RAG, embeddings, prompt engineering or LLM APIs.
  • Experience with Kafka, Redis, Elasticsearch or similar technologies.
  • Cloud experience with AWS/Azure/GCP.
  • Experience with Docker/Kubernetes.
  • Experience building customer-facing SaaS products.
  • Exposure to CRM, MarTech, SalesTech or enterprise platforms.

Ideal Candidate

We are looking for someone who is backend-first and Java-heavy, but has also worked on chatbot/conversational use cases. The candidate should be comfortable owning backend services end-to-end and collaborating with AI/ML teams to build scalable conversational experiences.

Ideal profile:

Java + Spring Boot + Microservices + Strong Backend Engineering + Chatbot/Conversational AI Experience.



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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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