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AI Engineer — fraud detection and GenAI/LLM

Hiring evidence involving Python, FastAPI. First observed 11 Sept 2026; the response opens on justjoin.it.

Technology
PythonFastAPI
Budget
Not provided by source
Work format
Hiring
Role family
AI / ML engineer
Observed
11 Sept 202615 days old
Response destination
justjoin.it

Source job details

Structured facts are published only when supplied by the source; missing values are never invented.

Hiring organization
7N
Source reference
OPP-20260911-1125
Location evidence
Warsaw, Poland / CET–CEST
Employment type
full time
Required skills
Python, LLMs, embeddings, GenAI, machine learning, FastAPI, Spark, Hadoop, Hive, Azure, Power BI, CI/CD
Expected duration
Full-time; long-term

What this signal says

The observed opportunity titled “AI Engineer — fraud detection and GenAI/LLM” enters this catalog as a market signal with a traceable source. Leadiy does not republish the original description. Instead, it separates a few decision-grade facts from the private operating record and adds context from the same demand dataset. That boundary matters: the public edition can help a developer or agency assess relevance, while the source remains responsible for complete requirements, eligibility, current status and the actual response flow. Any fact not shown here should be checked at that destination.

How the technology was normalized

For comparison across sources, Leadiy maps the visible stack to Python, FastAPI. Source marketplaces often mix frameworks, platforms, infrastructure and delivery language in one line, so a literal string would fragment the market view. The controlled catalog keeps stable concepts together while retaining the original stack as a concise fact below. Detection is multi-label: several technologies may be valid at once, and a stack combination is admitted only when its required components appear. Buyers and suppliers should still use the source page to confirm versions, depth and mandatory versus optional skills.

Commercial format

Leadiy reads the buying motion as Hiring. This matters because the response shape for a deliverable, contractor seat, formal proposal and employment application is not interchangeable. The category is a classifier output rather than a legal characterization, and the original post wins if its terms change. The available duration wording is “Full-time; long-term.” Work-location context is recorded as “Remote work explicitly limited to Poland plus Warsaw office twice monthly.”

Reading the budget

Budget data is unavailable from the source for this record. That is a statement about one missing field, not about whether the opportunity itself is public: this evidence page is published and indexable. Leadiy keeps the gap visible instead of inventing a midpoint or borrowing a number from another listing. Ask the source to confirm amount, currency, unit, inclusions and payment schedule before treating the opportunity as commercially qualified.

Demand context from Hiring Pulse

In the current 30-day Hiring Pulse, Python appears in 421 of 1393 observed opportunities (30.2%). Counts are multi-label, so one opportunity may contribute to several technology buckets. Hiring Pulse is the contextual layer Leadiy adds beyond aggregation. It places the record against a verified observation window while keeping counting rules visible: technologies can overlap, the feed is not a census, and sparse groups are not disclosed as exact numbers. This evidence can support prioritization, not a forecast. The record still needs source-level verification, and the aggregate view deliberately omits direct leads, personal information, private outreach content and arbitrary micro-segments that could reveal too much.

Observation and publication timing

The first-observed timestamp is 11 Sept 2026, 02:30 UTC, which makes this record 14 days old when this page is rendered. Public release waited 36.19 hours, selected deterministically between 24 and 48 hours from the record identifier. That rule survives process restarts and does not drift with each request. It also separates two clocks that are easy to confuse: the source may have published earlier, whereas Leadiy records when its own system first saw the opportunity. Paid access is to the earlier matched feed, not to a claim about the source’s original posting time.

What looks similar

To build a useful neighbourhood around this record, Leadiy compares normalized technology IDs and favours the strongest overlap among pages that have already cleared the public delay. The current result is: "Machine Learning Engineer — production RAG and multi-agent systems", "LLM / AI Engineer", "Senior Fullstack Engineer (FastAPI, React)" This method makes relationships inspectable and avoids copying descriptive text from the source. Similarity means shared technical vocabulary, nothing more. It does not assert shared ownership, equal scope, equivalent seniority or an identical application process, and it can evolve as later records become publicly eligible.

Where the response goes

The response button on this page opens Just Join IT at justjoin.it. It leaves Leadiy and goes to the original opportunity URL; Leadiy is not the application destination and does not relay a response from this public page. The source may require its own account, profile, proposal form, geographic eligibility or platform terms. Check the destination address before entering information, and use the source’s current instructions rather than any summary here. This disclosure is intentionally repeated beside the button so the action is clear before a visitor clicks.

Public evidence versus earlier access

The commercial distinction is one sentence: the same opportunities, one day earlier. The paid workspace is for acting on newly matched signals with private workflow tools; this public edition is for later discovery, citation and market context. Paying does not improve the source’s terms or guarantee a response. It changes when the Leadiy record becomes available and adds the operating context needed to triage it. That boundary keeps the open catalog genuinely useful while preserving a simple reason to subscribe without hiding where the original response must be submitted.

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The button opens justjoin.it. That third-party page controls login, eligibility, proposal fields, privacy and the current status of the opportunity.

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