Senior Software Engineer - Generative AI

Job Title: Lead Backend Web App Developer

Experience: 10–15 Years

Location: Bengaluru (Hybrid)

Role Overview:

We are seeking an experienced Lead Backend Web App Developer to design and maintain scalable, cloud-based backend systems. This role demands expertise in microservices, AWS, and backend technologies to deliver efficient and high-performing applications.

Key Responsibilities:

• Build and maintain scalable backend systems for cloud-based web applications.
• Develop microservices using AWS (Lambda, SQS, SNS) and databases (MySQL, NoSQL).
• Design and implement REST APIs for seamless communication between systems.
• Create containerized solutions with Docker for efficient deployment.
• Solve real-world problems with enterprise-class product designs.
• Contribute to key decisions on product and technology direction.
• Promote frameworks, standards, and new technologies within the team.

Required Skills:

• Experience: 10+ Years in Backend Development; 3+ Years in large-scale, microservices-based projects.
• Backend Technologies: Proficiency in Python, Node.js, and Java.
• Cloud Expertise: Strong experience with AWS services (Lambda, SQS, SNS).
• Database Skills: Expertise in MySQL and NoSQL databases.
• Microservices Architecture: Deep understanding of distributed systems and scalability.
• DevOps Tools: Hands-on experience with Docker.
• API Development: Proven expertise in designing and consuming REST APIs.
• Soft Skills: Excellent problem-solving and communication abilities.

Why Join Us?

• Work on impactful projects with real-world applications.
• Solve complex problems in a dynamic, fast-paced environment.
• Collaborate with a team of skilled professionals.

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

Role & Responsibilities

work with peers in Product, QA, and other Engineering departments;

coach and mentor team members;

cautiously drive adoption of new technologies and processes;

preserve our engineering values of quality, scalability, and maintainability;

“see around corners” — identify blind spots and prioritize work across teams;

work with international teams to ensure successful product development and delivery; and

own the overall architecture and systems engineering for your products.

Job Description: Python Engineer

Role Summary

We are looking for a talented Python Engineer to design, develop, and maintain high-quality backend applications and automation solutions. The ideal candidate should have strong programming skills, familiarity with modern development practices, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

Python Development & Automation

• Design, develop, and maintain Python scripts, tools, and automation frameworks.
• Build automation for operational tasks such as deployment, monitoring, system checks, and maintenance.
• Write clean, modular, and well-documented Python code following best practices.
• Develop APIs, CLI tools, or microservices when required.

Linux Systems Engineering

• Manage, configure, and troubleshoot Linux environments (RHEL, CentOS, Ubuntu).
• Perform system performance tuning, log analysis, and root-cause diagnostics.
• Work with system services, processes, networking, file systems, and security controls.
• Implement shell scripting (bash) alongside Python for system-level automation.

CI/CD & Infrastructure Support

• Support integration of Python automation into CI/CD pipelines (Jenkins).
• Participate in build and release processes for infrastructure components.
• Ensure automation aligns with established infrastructure standards and governance.
• Use Bash scripting together with Python to improve automation efficiency.

Cloud & DevOps Collaboration (if applicable)

• Collaborate with Cloud/DevOps engineers on automation for AWS or other cloud platforms.
• Integrate Python tools with configuration management tools such as Chef or Ansible, or with Terraform modules.
• Contribute to containerization efforts (Docker, Kubernetes) leveraging Python automation.

Job Description:

Proven experience as a Java Developer with a strong understanding of Java and its ecosystems.

Proficient in Spring Framework (Spring Boot, Spring MVC, Spring Data).

Experience with web application development using technologies such as HTML, CSS, and JavaScript.

Knowledge of relational databases (e.g., MySQL, PostgreSQL) and ORM frameworks (e.g., Hibernate).

Familiarity with build tools such as Maven or Gradle.

Understanding of software development life cycle (SDLC) and agile methodologies.

Excellent problem-solving and debugging skills.

Experience with microservices architecture.

Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Candidate should also have some App development experience in cloud infra. Like familiarity with Docker, Helm Charts, Kubernetes or AWS/Azure k8s infra.

Candidate should have some App development experience in at least one No-SQL Database also (like MongoDB or Cassandra or Redis) apart from RDBMS.

Job Requirements:       

·        Bachelor’s degree (minimum) in Computer Science or Engineering.

·        Minimum 5 years of experience working as a senior–level Software Engineer

·        Excellent programming and debugging skills in RoR and Python

·        Experience in web development and automation

·        Experience developing on Windows and Linux systems 

Although not required, the following are a plus: 

·        Experience working with Build scripts, Shell scripts, Makefiles

·        Experience with Jenkins and other CI/CD tools

·        Knowledge of RESTful web services and docker

1: proficient in python, flask, pandas, GitHub and AWS

2: good knowledge of databases both SQL and NoSQL

3:Strong experience in REST and SOAP APIs

4: Experience with working on scalable interactive web applications

5:Basic knowledge of JavaScript and Html

6: Automation and crawling tools and modules

7: Multithreading and Multiprocessing

8:Good Understanding of test-driven Development

9: Preferred exposure to finance domain