Full Stack AI Developer
- Developer
- On-site
- Internship
- Trainee
Work across frontend, backend, APIs, and Generative AI while solving real-world business challenges. We're looking for someone interested in long-term growth, ownership, and building impactful products.
What you're signing up for
We are looking for a highly skilled Full Stack AI Developer to join our Core Platform team. This is an opportunity to work on cutting-edge AI-powered products, cloud-native applications, and scalable web platforms used in real-world business environments.
You will be responsible for building end-to-end solutions that combine modern frontend technologies, robust backend systems, artificial intelligence, and cloud infrastructure. The ideal candidate is someone who enjoys solving complex problems, takes ownership of their work, and is excited about building impactful products from concept to deployment.
The work
- Build end-to-end AI-powered web applications.
- Develop scalable frontend and backend systems.
- Design, build, and maintain secure APIs.
- Integrate LLMs, GenAI, and AI-powered workflows.
- Develop cloud-native applications and services.
- Optimize application performance, scalability, and reliability.
- Work with databases, infrastructure, and deployment pipelines.
- Collaborate with product, design, and engineering teams.
- Troubleshoot production issues and improve system stability.
- Contribute to architecture and technical decision-making.
You bring
- Strong experience in full stack software development.
- Hands-on expertise with modern web technologies.
- Ability to take ownership and deliver independently.
- Strong problem-solving and analytical skills.
- Passion for building high-quality, scalable products.
- Excellent communication and collaboration abilities.
- Commitment to long-term growth and collaboration.
- Desire to build meaningful products rather than short-term projects.
- Professional attitude, accountability, and reliability.
- Continuous learning mindset and adaptability.
Bonus signal
- Experience with Large Language Models (LLMs).
- Experience building RAG-based applications.
- Knowledge of vector databases and AI pipelines.
- Familiarity with Kubernetes and container orchestration.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Understanding of CI/CD and DevOps practices.
- Open-source contributions or personal projects.
What you'll work with
What we offer
- Work on cutting-edge AI and cloud technologies.
- Opportunity to contribute to impactful products.
- Learning and professional growth opportunities.
Apply for Full Stack AI Developer.
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