Senior Software Engineer - Full Stack & GenAI

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. Because whether it’s for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you’re in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us.

Who are we?

Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.

Wabtec is focused on performance that drives progress and unlocks our customers’ potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more!

Job Description: Senior Software Engineer - Full Stack & GenAI

Who will you be working with?

As a Senior Software Engineer on the Wabtec IT Data & Analytics (DnA) Team, you will be part of the Advanced Analytics & AI Development team. You will collaborate with data engineers, AI specialists, and business stakeholders to build scalable full‑stack applications and GenAI-powered features that solve real business problems.

How will you make a difference?

You will design and develop high-quality software solutions, contribute to system design, and deliver reliable, scalable applications. You will also actively learn and apply modern technologies in Python and AI/GenAI, helping the team adopt innovative solutions.

Your 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?

You must have:

The minimum qualifications for this role include:

• 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

We would love it if you had:

• 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 …