About the role

We are looking for a Full Stack Engineer, AI Systems to help turn advanced AI capabilities into reliable, production-ready product experiences.

You'll work across the frontend, backend and AI layers to build workflows where AI can do more than simply respond to prompts. The focus is on creating persistent, goal-oriented experiences where agents can plan, use external tools, handle failures and continue working reliably across multiple steps.

This role is ideal for an engineer who enjoys working across the stack and wants to have a direct impact on how AI-powered products actually work for users.

What you'll do

  • Build and ship end-to-end product features spanning frontend, backend and AI integrations
  • Design agent workflows capable of planning, using tools, handling failures and recovering across multi-step tasks
  • Integrate LLMs, memory systems and external tools into robust production applications
  • Build real-time AI experiences with streaming, partial responses and low-latency interactions
  • Improve application reliability through observability, monitoring and effective fallback strategies
  • Work closely with ML, backend and product teams to take features from concept through production
  • Analyse real-world usage and failure patterns and use those insights to continuously improve the product

What you'll achieve

In this role, you'll help build AI-native product experiences that go beyond traditional chat interfaces.

Your impact will include:

  • Shipping AI-powered features built around persistent, goal-driven workflows
  • Designing agent systems that can reliably execute multi-step tasks across different tools and sessions
  • Improving the speed and responsiveness of AI interactions without compromising output quality
  • Building mechanisms that allow systems to recover gracefully when LLMs or external tools fail
  • Increasing the reliability and success rate of AI workflows through evaluation, monitoring and continuous iteration
  • Creating reusable patterns and abstractions for integrating LLMs, memory and external tools into scalable systems
  • Helping create a product experience where AI feels proactive, consistent and dependable

How we work

You'll join a small, high-talent-density and hands-on team working on an ambitious AI product.

The team moves quickly, makes decisions collaboratively and balances rapid execution with high engineering standards and continuous learning.

You'll be expected to bring structure to ambiguous problems, make thoughtful technical decisions and take ownership of your work from idea through deployment.

The goal is to build an AI product that doesn't just demonstrate what the technology can do, but delivers a genuinely useful and dependable experience to users at scale.

Location: Poland Work model: Remote Employment type: Full-time

We're looking for someone with:

  • Strong experience working across frontend and backend development
  • A solid understanding of system design and API architecture
  • Hands-on experience with LLMs, RAG or other AI-powered applications
  • The ability to make pragmatic technical decisions when requirements are unclear or evolving
  • Strong ownership and the ability to take a feature from an initial idea all the way to production
  • Comfort working in a fast-moving environment where priorities and requirements can change

Tech stack

  • Next.js
  • Python
  • Node.js
  • PyTorch
  • OpenAI, Anthropic and open-source LLMs
  • SQL / NoSQL
  • Kubernetes
  • Docker
Klient Bulldogjob

Klient Bulldogjob

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