Software Engineer (Full-Stack/Backend & Applied AI)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 6h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 12d ago
The date the source published, not the day we noticed it (2026-09-29). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Ukraine, Armenia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $137.5k–204.4k/yr
Middle 50% of 94 listings that do state pay — Engineering · all levels · Eastern Europe · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workable employer's own board first seen 7h ago · last seen just now
The listing
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.