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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

Job Location: Bangalore, Pune, Chennai, Mohali, Gurugram, Panchkula, or Dehradun

The candidate must be available to join within two weeks.

Job Description:

• 5 to 8 years of experience in Developing APIs and RESTful services using Node JS.
• Experience with AWS API Gateway
• Produce high-quality code and experience with security implementations Identifying application security risks and implementing security patches procedures.
• Implement and Improve application logging services
• Work with the product and design teams to understand end-user requirements, formulate definitions of done, and translate that into an effective technical solution.
• Work with the QA Team to develop testing protocols to identify and correct challenges.
• Must have good analytical, debugging, and problem-solving skills.
• Good communication skills.

You have 5 years or more of Backend end development experience with expertise in designing and implementing high-performance applications.

Worked with and built high-performance products using Node Js/GoLang/ Python and have seen the product evolution cycle from PoC to Production

You have a deep understanding of design principles and can rightly judge/implement solutions to complex problems

You are capable of writing high-quality code that conforms to the standards and best practices in a particular language/framework.

You have experience building a product using a mainstream library or framework.

You love to own end to end responsibility, starting from defining the problem statement (either yourself or alongside your peers), development (PoC if needed), testing, releasing in staging & then production environment, and finally monitoring.

Previous work experience in product-based startups

Experience building for products that have scaled and have seen the product evolution

Designing and developing high-volume, low-latency applications for
critical systems and delivering high-availability and performance
• Contributing in all phases of the development lifecycle
• Writing well designed, testable, efficient code
• Test cases should be upto the mark
• Performance tuning knowledge is a must. Experience is an added advantage.
• In Backend – fundamentals of all languages is a must• Good hands-on software development experience with proven working experience
in Python development
• Expert in Python, with knowledge of at least one Python web framework (such
as Django, Flask)
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process
architecture
• Strong unit test and debugging skills
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and
CSS3
• Understanding of memory model/GC from performance point of view.

• 5+ years experience
• Previously managed a team
• Built & managed backend systems from scratch previously.
• Lead the core backend engineering team, including mentoring, coaching, architecture, devops, code review and software infrastructure
• Should be more proficient with Django.
• Work with the executive team to shape and execute the product roadmap
• Direct our team environment to achieve sprint deliverables and acceptance criteria
• Design and monitor metrics to assess product and infrastructure performance
• Hire, build and shape the team