Hiring
Senior Python Developer — production image-processing AI agent
Deadline not provided — verify source
Developer for AI Development & Engineering — production AI systems
Contract evidence involving Python, pgvector, Docker. First observed 26 Sept 2026; the response opens on jobserve.com.
- Technology
- PythonpgvectorDockerGitHub ActionsOpenAI APIRAG+1 more in the evidence
- Budget
- Not provided by source
- Work format
- Contract
- Role family
- AI / ML engineer
- Seniority
- Level not stated
- Observed
- 26 Sept 20264 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- jobserve.com
Opportunity summary
Developer for AI Development & Engineering — production AI systems. The source classifies this as contract work involving Python, pgvector, Docker, GitHub Actions, OpenAI API, RAG, Python/FastAPI + OpenAI + pgvector. Location or remote eligibility: Europe vendor contract; applicants must be eligible in the specified location. Ukraine eligibility must be confirmed..
Technology and scope
The reported stack is Python, ML/DL, OpenAI/Azure OpenAI/Claude, RAG, pgvector, agents, evaluations, Azure, GitHub Actions, Docker, Kubernetes/AKS. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Contract: time-bounded or ongoing contractor capacity. Source timing: Not published
Budget
Budget not provided by source. Confirm the rate or project value before preparing a proposal; no estimate has been substituted.
Dates and availability
First observed by Leadiy on 26 Sept 2026, 18:29 UTC. Public since 1 Oct 2026, 01:00 UTC. Deadline not provided — verify source. A listed deadline does not confirm that applications are still accepted. These are observation and publication dates, not a reconstruction of the source posting date. Date-only deadlines have no supplied timezone; the date changes here at midnight UTC.
Related market context
In the current 30-day Hiring Pulse, Python appears in 423 of 1186 observed opportunities (35.7%). Counts are multi-label, so one opportunity may contribute to several technology buckets. This is a separate aggregate sample, not a confirmation of this opportunity’s availability.
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