Lead Software Engineer - AI (Java/Python)

Responsibilities

• Software Development: Write clean, maintainable, and efficient code or various software applications and systems.
• Design and Architecture: Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability. Experience in developing cloud native SAAS products/applications.
• GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
• Code Review: Review peer code, provide constructive feedback, and ensure adherence to industry best practices for clean, efficient, maintainable, and well-tested code with built-in observability.
• Testing: Build testable software, define tests, participate in the testing process, automate tests using tools and Design Patterns leveraging the test automation pyramid as the guide.
• Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner.
• Service Health and Quality: Maintain service reliability by monitoring health indicators, promptly addressing incidents, collaborating on issue resolution, and performing root cause analysis to prevent recurrence.
• Dev Ops Model: Use and contribute to the Continuous Integration and Continuous Delivery process (CI/CD).
• Mentorship: Mentors the team on technology concepts and ensures team compliance to best practices for design.
• Innovation: Stay up to date with emerging technologies and industry trends, and champion their adoption to enhance team innovation and productivity

• Graduate/ Postgraduate in Computer Science with at least 60% throughout academics
• 5 - 8yrs' IT experience and more than 5yrs of relevant experience
• Proficiency in programming languages such as Python and Java.
• Experience with software development practices and design patterns.
• Strong problem-solving skills and attention to detail.
• Familiarity with version control systems like GitHub and bug/work tracking systems like JIRA.
• Basic understanding of cloud technologies and DevOps principles.
• Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services.
• Good communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.

• Experience with CI/CD tooling such as Terraform and GitHub Actions.
• High level familiarity with AI/ML, GenAI, and MLOps concepts.
• Familiarity with frameworks like LangChain and LangGraph.
• Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres.
• Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc.
• Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow.
• Experience with Docker and Kubernetes.
• Experience in microservices architecture
• Experience with Java plus.