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
- Mobilization reservation available upon successful completion of the probation period (for Ukrainian 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.
