Full-Stack / Back-End Oriented (Python + Agentic AI)

Що очікуємо

● A Professional Engineer: You have 7+ years of professional full-stack or backend engineering experience, including 2+ years of experience building agents or agentic workflows in production at scale within a distributed system architecture.
● An AI-Native Engineer: You are excited about agentic development and agent-based operations. You are proficient in high-scale AI-based development, utilizing tools like Claude Code, Cursor, or Copilot in a highly autonomous fashion, and are a strong, independent individual contributor who can work effectively alone or in small, ad-hoc groups.
● Distributed & Cloud Architecture: You have proven experience with GraphQL or REST and designing scalable, cloud-based distributed architectures, including event-driven patterns. You are comfortable with AWS (K8S, Serverless, Event-driven), messaging (SQS, SNS) and databases (PostgreSQL, DynamoDB, MongoDB).
Experience with Vector DBs is a plus.
● A Craftsman: You take pride in clean code, thoughtful design, and production-grade security, operations and observability. You are accountable, independent, and thrive in ambiguous environments.

Scope of work:
● Architect & Build: Design and deliver agentic workflows and scalable microservices, primarily using Python, within a distributed system architecture.
● AI Integration: Lead the integration of Generative AI capabilities, including LLM APIs, RAG pipelines, and agentic workflows into our production systems.
● Agentic Operations & Observability: Implement operational practices, observability, and autonomous monitors (e.g., detecting intelligence drift or hallucinations) to ensure AI reliability in production.
● Elevate Engineering: Drive overall engineering quality and speed by implementing AI-SDLC practices, ensuring high standards through rigorous code reviews, testautomation, and by establishing continuous, trace-based quality evaluation for all software and agentic components.