Senior Gen AI Developer

Are you passionate about building the future of AI-driven systems? We're looking for a Senior Generative AI Developer to join a forward-thinking, AI-first team delivering innovative GenAI capabilities for a global financial institution. You'll help architect, build, and scale secure and low-latency systems that enable cutting-edge applications using LLMs, RAG pipelines, and modern AI toolchains.

🧠 What You’ll Be Working On:

1. Designing and implementing backend systems to support Generative AI workflows and services.
2. Developing microservices and APIs that integrate with LLMs, vector databases, and orchestration frameworks like LangChain or LangGraph.
3. Building scalable infrastructure for deploying and serving LLMs and AI pipelines in production.
4. Creating and maintaining data pipelines to support GenAI use cases — including prompt processing and model feedback loops.
5. Collaborating with AI/ML engineers to develop plug-and-play components (e.g., Intent Resolver, Tool Agent, LLM Gateway) in agentic workflows.
6. Participating in architecture reviews to ensure performance, latency, and modularity of GenAI systems.
7. Debugging and optimizing prompt execution, model inference paths, and external API integration.
8. Writing documentation on service design, deployment procedures, and best practices.

✅ Must-Have Skills:

1. 5+ years of total IT experience, with at least 1+ year hands-on with GenAI/LLMs (prompt engineering, embeddings, fine-tuning, or RAG).
2. Strong backend engineering skills in Python, Java, or Scala - Python preferred.
3. Proficiency with REST APIs, Kafka, and cloud platforms (AWS or Azure).
4. Experience with scalable systems architecture, microservices, and secure backend development.

💡 Desired Skills:

1. Familiarity with LangChain, LangGraph, Copilot, or vector databases.
2. Hands-on experience with Docker, Kubernetes, CI/CD, and Git.
3. Exposure to prompt engineering, AI agent orchestration, or AI-first development environments is a strong plus.

🔧 Tech Stack Highlights:

1. Languages: Python, Java, Scala
2. GenAI Tools: LLMs, LangChain, LangGraph, RAG pipelines
3. Infrastructure: AWS, Azure, Docker, Kubernetes, Kafka
4. DevOps: Git, CI/CD
5. Architecture: Microservices, REST APIs, Secure AI Systems

🏢 Work Model:

1. Hybrid: 1 day/week in the Kraków office, 4 days remote
2. EU-based candidates only
3. Long-term engagement in an enterprise AI transformation program

Join an AI-first engineering team working on real-world LLM and RAG applications in a secure and scalable enterprise setting. You’ll gain hands-on exposure to some of the most advanced GenAI technologies in production today.

Apply now and help shape the future of enterprise AI!