Gen AI Fullstack Developer
As a Gen AI Fullstack Developer, you will rapidly design, build, and iterate end to end AI-powered applications. You will work across frontend, backend, and cloud infrastructure, integrating modern Gen AI technologies into production-ready systems. You will collaborate closely with product, architecture, and engineering teams to deliver scalable, reliable, and high-impact solutions.
What you will do
In his role, you will:

Build end to end fullstack applications using Python or TypeScript.
Integrate Gen AI capabilities using LLM APIs and RAG architectures.
Design and implement backend services using NestJS or Flask.
Develop frontend experiences using React.
Work with vector databases such as pgvector or similar technologies.
Design and operate cloud infrastructure and CI/CD pipelines in Azure, AWS, or GCP.
Implement monitoring, logging, and observability for production systems.
Collaborate with PMs, architects, and engineers to define feasibility and delivery scope.
Produce clear technical documentation and contribute to engineering best practices.

What you will bring
The top candidate will have the following skills:

Bachelor’s degree in CS, Engineering, or related, or equivalent practical experience.
5+ years of experience as a Fullstack Developer.
Strong experience with Python or TypeScript.
Strong experience building modern frontends with React.
Strong experience building APIs and backend services with NestJS or Flask.
Hands-on experience integrating LLM APIs and building RAG-based systems.
Experience working with vector databases such as pgvector or similar.
Solid DevOps experience, including Docker, CI/CD, and cloud platforms.
Ability to prototype quickly and work effectively in ambiguous environments.
Experience building and scaling production systems end to end.

Ideally you have…

Experience working in startup or fast-paced product environments.
Experience with open-source AI models.
Experience with MLOps or AI observability tooling.
Prior consulting or customer-facing delivery experience.
Passion for applied AI, experimentation, and rapid iteration.
Deep familiarity with at least one major cloud provider, Azure, AWS, or GCP.

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