Software Engineer (Full-Stack/Backend & Applied AI)

Job Description

We are looking for a Software Engineer who operates at the intersection of high-scale full-stack engineering and cutting-edge Applied AI.

Requirements

• 7+ years of backend or full-stack engineering experience, including 2+ years building production-grade agentic systems in distributed environments.
• Strong proficiency in Python (preferred) or TypeScript/Go/Rust, with the ability to transition to Python.
• Hands-on experience with agentic frameworks such as LangChain, LangGraph, CrewAI, DeepAgents, OpenClaw, Hermes, or equivalent.
• Proven expertise in designing cloud-native, event-driven architectures using AWS, Kubernetes, Terraform, CI/CD, GraphQL or REST APIs, and messaging systems (SQS/SNS).
• Experience with PostgreSQL, DynamoDB, MongoDB, and preferably vector databases.
• Familiarity with AI-native development tools such as Claude Code, Cursor, or Copilot.
• Excellent communication skills and the ability to work independently in a highly autonomous environment.

Will be a plus

• Experience with React, Next.js, or similar frontend technologies.

What we offer

• Help and support from our caring HR team
• 15 working days of annual paid leave
• The exchange of experience and work with talented colleagues
• Last but not least - valuable compensation for your efforts

Responsibilities

• 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, test automation, and by establishing continuous, trace-based quality evaluation for all software and agentic components.
• Mentor & Innovate: Evaluate emerging AI tooling, mentor fellow engineers, and contribute directly to our technical roadmap and Agentic AI-SDLC and Production Operations.