Description

Key Skills

AI, LLM, MCP

Responsibilities

Position Description:

We are looking for a Senior Full Stack Developer to build and scale AI-powered platforms that accelerate our vehicle development lifecycle. In the Product Development (PD) space, your work will directly impact how we design, engineer, and validate the next generation of vehicles. You will be responsible for taking AI prototypes—ranging from generative design tools to automated engineering documentation assistants—and turning them into robust, high-performance software products used by our global engineering teams.

Skills Required:

Role Requirements – Full Stack Developer Must-have skills

: Strong experience with Python Strong experience with React Nice-to-have

: Experience with Java Familiarity with Google Cloud Platform (GCP) Cloud platforms

: GCP is preferred by the hiring manager Experience with Azure or AWS is acceptable, though there may be a learning curve transitioning to GCP

Skills Preferred:

Role Requirements – Full Stack Developer Core focus: Balanced 50/50 front-end and back-end development Traditional full stack profile Must-have skills: Strong experience with Python Strong experience with React Experience building and integrating APIs Key competencies: Big Data handling and processing Data Analysis Data Acquisition / ingestion pipelines Nice-to-have: Experience with Java Familiarity with Google Cloud Platform (GCP) Cloud platforms: GCP preferred by the hiring manager Experience with AWS or Azure is acceptable, with an expected ramp-up to GCP

Experience Required:

Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development

Experience Preferred:

• Engineering Tooling: Design and develop full-stack applications that integrate AI into the PD workflow (e.g., tools for CAD optimization, automated requirement analysis, or simulation data synthesis). 

• AI-Driven R&D: Build Retrieval-Augmented Generation (RAG) systems that allow engineers to query decades of technical standards, testing logs, and past vehicle program data. 

• Data Visualization & Digital Twins: Create sophisticated front-end interfaces to visualize complex engineering data, 3D models, or simulation results in real-time. 

• Lifecycle Transition: Take "proof-of-concept" AI models developed by R&D teams and architect them into scalable, production-ready internal products. 

• API & Integration: Develop high-throughput APIs to connect AI services with existing PLM (Product Lifecycle Management) and ERP systems. 

• Cloud platform : Excellent understanding of cloud architecture, cloud services, IAM, CI/CD, Security measures and Cloud networking concepts. 

• Frontend: Expert in React, Next.js, or TypeScript. 

• Backend: Deep proficiency in Python (FastAPI/Django). 

• AI Orchestration: Advanced experience with LangChain, LlamaIndex, or Semantic Kernel. Proven ability to move beyond basic prompting into complex agentic workflows. 

• Data Architecture: Expert knowledge of SQL (PostgreSQL) and Vector Databases. Experience with data lakes is a major advantage. 

• Infrastructure: Strong experience with GCP cloud architectures. 

• DevOps: Proficiency in Docker, Kubernetes, and building CI/CD pipelines that include model evaluation steps. 

• Domain Expertise: Familiarity with the Product Development Lifecycle (Design, CAE, Testing, Launch). Experience in automotive, aerospace, or heavy manufacturing is a plus. 

• Analytical Mindset: Ability to understand complex engineering requirements and translate them into intuitive software features.

Education Required:

Bachelor's Degree

Key Skills

Education

Any Graduate