You will be technically responsible for the backend of our AI platform.
Your focus will be on system architecture, AI integration, and long-term product quality.
Architecting and evolving our Python backend with a focus on AI systems.
Designing and implementing RAG architectures for production use cases.
Building and maintaining AI pipelines (ingestion, retrieval, context management, inference).
Designing and orchestrating agent workflows, including state and error handling.
Evaluating trade-offs between quality, latency, cost, and scalability.
Ensuring stability, monitoring, and long-term maintainability.

Several years of backend engineering experience with Python.
Strong understanding of scalable backend architectures and APIs.
Experience with production systems — not just prototypes.
Ability to make and advocate for technical decisions.
Practical, hands-on experience with RAG systems.
Understanding of embeddings, retrieval strategies, and context management.
Experience with agent architectures or workflow orchestration.
Awareness of common AI challenges such as hallucinations, drift, latency, and evaluation.

Backend Software Engineer – AI Systems

Key skills