Senior Software Engineer - Full Stack & GenAI

Overview

It’s not just about your career or job title… It’s about who you are and the impact you will make on the world.

Responsibilities

• Software Development: Build and maintain full-stack applications, APIs, and AI-powered features.
• System Design: Contribute to the design of microservices and event-driven systems following established architecture.
• GenAI Implementation: Develop LLM-powered features including prompt pipelines, RAG integrations, and evaluation workflows.
• End-to-End Delivery: Build secure APIs (FastAPI/Node/NestJS) and React-based frontends; support CI/CD, testing, and deployments.
• Security Practices: Implement secure coding standards including authentication (OAuth2), secrets management, and API protection.
• Collaboration: Work closely with cross-functional teams to deliver solutions aligned with business needs.
• Code Quality: Write clean, testable, maintainable code and actively participate in code reviews.
• Continuous Learning: Stay open to learning and implementing Python, AI, and emerging GenAI technologies in real-world use cases.
• Improvement Mindset: Contribute to improving engineering practices, developer experience, and team productivity.
• Bachelor degree in computer science, IT, or related field
• 5+ years of software engineering experience
• Strong proficiency in TypeScript/JavaScript/Python

Qualifications

• Backend development experience with FastAPI / Node.js / NestJS
• Familiarity with AWS (S3, RDS), Docker, and CI/CD pipelines
• Exposure to GenAI concepts (LLMs, prompts, RAG, APIs)
• Understanding of secure coding practices and authentication mechanisms
• Strong problem-solving and communication skills
• Demonstrated willingness to learn and implement AI/GenAI solutions along with Python
• Familiarity with LangChain, LlamaIndex, or similar frameworks
• Knowledge of Redis, background jobs, and queue systems
• Exposure to Kubernetes and container orchestration
• Understanding of observability (logs, metrics, tracing)
• Collaborate with AI engineers and stakeholders in design and development discussions
• Develop scalable APIs, frontend applications, and AI-powered features
• Experiment with and implement GenAI capabilities
• Participate in code reviews and improve code quality
• Troubleshoot issues and optimize performance
• Continuously learn and apply new tools, especially in Python and AI/GenAI
• Hybrid work as per Wabtec policy.
• Work independently and as part of a team
• Manage multiple projects simultaneously