Senior Software Engineer - Full Stack & GenAI

Job Summary 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.

What do we want to know about you

• Bachelor degree in computer science, IT, or related field
• 5+ years of software engineering experience
• Strong proficiency in TypeScript/JavaScript/Python
• Experience building frontend applications using Angular and React or similar frameworks
• Backend development experience with FastAPI / Node.js / NestJS
• Experience working with SQL and data-driven applications
• 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

• Experience with vector databases (pgvector, Pinecone, Weaviate)
• 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)
• Experience optimizing performance and cost for applications

What will your typical day look like

• 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

What about the physical demands of the job

• Hybrid work as per Wabtec policy.
• Work independently and as part of a team
• Manage multiple projects simultaneously

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.