Software Engineer (Python)
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 just now — 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 3d ago
The date the source published, not the day we noticed it (2026-10-07). Last seen at its source 1h ago.
We have tracked this listing since 7 Oct 2026 (3 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
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?
Brazil, Argentina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $80k–141k/yr
Middle 50% of 35 listings that do state pay — Engineering · all levels · Brazil · 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
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Ashby employer's own board first seen 3d ago · last seen 1h ago
The listing
Pyyne is a modern technology consultancy engineering the next generation of digital products and services.
At Pyyne, we believe in using technology to unlock business potential, create sustainable growth, and drive forward digital excellence. Our solutions range from advanced Software Engineering, Cloud, and Data & AI solutions.
Job SummaryPyyne is seeking a Full Stack Software Engineer with 2-5 years of experience in Python to work remotely from Brazil or Argentina on a custom AI intelligence tool for a US-based client. This is a high-impact role for Pyyne as we find new ways to engineer thoughtful, AI-powered solutions.
A successful candidate in this role will work alongside a senior engineer, take ownership of well-scoped work with some autonomy, and keep the client regularly informed by shipping small, visible increments and communicating proactively.
Key ResponsibilitiesDevelop, maintain, and improve Python features and services for a custom AI intelligence solution.
Collaborate day to day with a senior engineer who built his solution, with their guidance on architecture and technical direction.
Ship small, well-tested changes on a regular cadence and make progress visible to the team and the client.
Take part in frequent syncs and proactively share status updates, risks, and blockers.
Adapt quickly as client priorities change.
Support the LLM and retrieval-augmented generation (RAG) components of the solution as the work requires.
Must Have Skills:
2+ years of professional experience with Python.
Hands-on experience with async Python (asyncio) and building REST APIs (FastAPI or similar).
Solid SQL skills and experience with PostgreSQL and an ORM (e.g., SQLAlchemy), including schema migrations.
Experience writing automated tests (pytest).
Comfortable with Git.
Ability to work independently on well-scoped tasks and ask for help when needed.
Clear, proactive communication and a delivery mindset: you ship small things regularly and make progress visible.
Highly fluent English, written and spoken.
Nice to Have Skills:
Experience with LLMs and RAG (embeddings, vector search, reranking, prompt design), including from personal projects.
Familiarity with pgvector or other vector databases.
Comfortable with Docker and deploying to a cloud provider (AWS preferred).
Experience with message queues and background workers (e.g., SQS).
Infrastructure as code (Terraform).
Benefits:
Flexible remote working environment.
Career development opportunities in a fast-growing company.
Benefits:
Flexible remote working environment.
Career development opportunities in a fast-growing company.