Project
Senior AI Engineer — AI Agents, LLM, RAG & Generative AI
Deadline not provided — verify source
Data Engineer — 300M+ company-record platform
Contract evidence involving Python, FastAPI, PostgreSQL. First observed 25 Sept 2026; the response opens on justjoin.it.
- Technology
- PythonFastAPIPostgreSQLRedisDockerGitHub Actions+1 more in the evidence
- Budget
- Not provided by source
- Work format
- Contract
- Role family
- Data engineer
- Seniority
- Level not stated
- Observed
- 25 Sept 20266 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- justjoin.it
Opportunity summary
Data Engineer — 300M+ company-record platform. The source classifies this as contract work involving Python, FastAPI, PostgreSQL, Redis, Docker, GitHub Actions, OpenAI API. Location or remote eligibility: Remote B2B is published; Ukraine cross-border contracting and agency-nominated delivery are not stated — confirm before applying.
Technology and scope
The reported stack is Python; SQL; Snowflake; dbt; Airflow on Kubernetes; Spark; Azure Databricks; PostgreSQL; Redis; FastAPI; Pydantic; GitHub Actions; Docker; Azure AI Search; OpenSearch; future LangChain and Azure OpenAI. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Contract: time-bounded or ongoing contractor capacity. Source timing: Full-time; duration 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 25 Sept 2026, 02:33 UTC. Public since 1 Oct 2026, 00:00 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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