Before applying: Please apply only if you can provide proof of work that demonstrates your capabilities. This could be in the form of public projects, code samples, demos, or case studies.
We're looking for a Full Stack Developer with GenAI application experience who thrives in fast-paced, high-ownership environments and wants to work on building the future of enterprise productivity using Generative AI. If you love being challenged regularly with exciting problems and are equipped with the right skills, you are an ideal candidate for this role.
Key responsibilities:
- Be present everywhere by working across the stack – React (TypeScript), Python (FastAPI), and cloud infrastructure – to design and deliver intelligent AI workflows, tools, and interfaces.
- Collaborate deeply with product and design to convert high-level problem statements into iterative GenAI-powered experiences that are usable, scalable, and valuable.
- Contribute to our GenAI systems by integrating with LLMs (OpenAI, open-source, or custom models), and/or other popular tools that could bring value to the end users.
- Set up scalable infrastructure: Own the CI/CD, monitoring, and cloud infrastructure (Azure preferred) to ensure fast and reliable delivery of AI-powered features.
- Validate ideas quickly by prototyping and shipping fast. We have a strong bias for execution.
- Establish and evolve best practices for building with GenAI. Think of areas like prompt design, evaluation, fallback logic, latency management, model selection, etc.
We are looking for:
- 3-7 years of full-stack experience: Workload across the stack can be estimated as follows: 25% React with Typescript, 25% CI/CD (Azure preferred), 50% Python (FastAPI preferred)
- Hands-on experience with GenAI: Working with LLMs (OpenAI, Claude, etc.), prompt chaining, and knowledge of tools like LangChain, Agents SDK, or similar. (Demonstrated curiosity and projects count.)
- Cloud-native mindset: Experience with CI/CD pipelines, IaC, and deploying scalable applications in the cloud (Azure, AWS, or GCP).
- Security-aware engineering: Experience securing APIs and managing user authentication and authorization in distributed systems.
- Startup DNA: You move fast, take ownership, and iterate in short cycles. You’re comfortable with ambiguity and energized by solving hard problems.
Why join us:
- Work on frontier GenAI use cases that go beyond simple chatbots – we're building systems, workflows, and tools with real-world impact.
- Be part of a lean, high-agency team where your ideas shape the product, the stack, and the culture.
- Learn and evolve with AI: We constantly experiment with new models, tools, and architectures – you’ll be at the center of that.
- Clear user impact: We’re working with enterprises ready to adopt AI deeply – your work gets used, fast.
About PANTA:
We design, develop, and integrate AI with a strategic perspective and technical depth. Our projects often begin with an idea, a challenge, or a use case, and lead to tools, workflows, and prototypes that work in everyday life. We support companies and institutions throughout their entire journey: from AI strategy and technical development to concrete implementation within the team.