Backend Developer

Responsible for developing, enhancing, modifying, and maintaining chatbot applications in the Global Markets environment. The role involves designing, coding, testing, debugging, and documenting conversational AI solutions, along with supporting activities aligned to the corporate systems architecture.

You will work closely with business partners to understand requirements, analyze data, and deliver optimal, market-ready conversational AI and automation solutions.

Key Responsibilities

• Design, develop, test, debug, and maintain chatbot and virtual agent applications
• Collaborate with business stakeholders to define and translate requirements into technical solutions
• Analyze large volumes of conversational data to improve chatbot accuracy and performance
• Develop automation workflows for data handling and refinement
• Train and optimize chatbots using historical chat logs and user-generated content
• Ensure solutions align with enterprise architecture and best practices
• Document solutions, workflows, and technical designs clearly

Required Skills

• Hands-on experience in developing virtual agents (chatbots/voicebots) and Natural Language Processing (NLP)
• Experience with one or more AI/NLP platforms such as:
• Dialogflow, Amazon Lex, Alexa, Rasa, LUIS, Kore.AI
• Microsoft Bot Framework, IBM Watson, Wit.ai, Salesforce Einstein, Converse.ai
• Strong programming knowledge in Python, JavaScript, or Node.js
• Experience training chatbots using historical conversations or large-scale text datasets
• Practical knowledge of:
• Formal syntax and semantics
• Corpus analysis
• Dialogue management
• Strong written communication skills
• Strong problem-solving ability and willingness to learn emerging technologies

Nice-to-Have Skills

• Understanding of conversational UI and voice-based processing (Text-to-Speech, Speech-to-Text)
• Experience building voice apps for Amazon Alexa or Google Home
• Experience with Test-Driven Development (TDD) and Agile methodologies
• Ability to design and implement end-to-end pipelines for AI-based conversational applications
• Experience in text mining, hypothesis generation, and historical data analysis
• Strong knowledge of regular expressions for data cleaning and preprocessing
• Understanding of API integrations, SSO, and token-based authentication
• Experience writing unit test cases as per project standards
• Knowledge of HTTP, REST APIs, sockets, and web services
• Ability to perform keyword and topic extraction from chat logs
• Experience training and tuning topic modeling algorithms such as LDA and NMF
• Understanding of classical Machine Learning algorithms and appropriate evaluation metrics
• Experience with NLP frameworks such as NLTK and spaCy

Proficient in Java, J2EE and related technologies.
• Experienced in using spring, Spring Boot, Hibernate, messaging systems.
• Good understanding of relational database performance concepts and usage of ORM frameworks such as Hibernate
• Expert understanding of the object-oriented design and programming concepts
• Strong working experience  on Data Structures, Algorithms and Collections.
• Solid experience building applications on top of RESTful APIs.
• Knowledge/experience with Spring MVC
• Stroing knowledge in developing and executing automated unit, functional and integration tests
• Good communication and analytical skills.
• Strong trouble shooting skills

Responsibilities :

- Design and develop highly scalable, highly available, reliable, secure and fault-tolerant systems with minimal guidance for one of the fastest-growing company in India

- Translate business requirements into scalable and extensible design

- Pair with team members on functional and nonfunctional requirements and spread design philosophy, goals and improve the code quality across the team

- Partner with the product management team to define and execute the feature roadmap

- Coordinate with cross-functional teams (Mobile, UX etc.) on planning and execution

- Proactively manage stakeholder communication related to deliverables, risks, changes and dependencies

- The building of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

Experience and Skills :

- 2+ years of hands-on experience in designing, developing, testing and deploying applications on Node.JS for large scale applications.

- Strong proficiency with JavaScript

- Understanding of Asynchronous Request handling techniques.

- Deep knowledge of Linux : CentOS, Fedora, or Ubuntu

- Data modeling experience in Relational and NoSQL databases(MONGO DB)

- Ability to understand and implement Continuous Integration and Continuous Delivery

- Well versed with Agile methodologies, TDD and Test Engineering and Automation

- Ability to design and implement low latency RESTful services

- Experience troubleshooting server performance - memory issues, GC tuning, resource leaks, etc.

- Excellent understanding of interactive application development paradigm, memory management, performance/resource optimizations, database interactions, network programming, concurrency and multithreading, fault tolerance, monitoring, security and operability of systems

- Continuously refactor applications to ensure high-quality design

- Ability to plan, prioritize, estimate and execute releases with a good degree of predictability