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Senior AI Platform Engineer

Hiring evidence involving Python, AWS, RAG. First observed 7 Sept 2026; the response opens on justjoin.it.

Budget
Not provided by source
Work format
Hiring
Role family
AI / ML engineer
Seniority
Senior
Observed
7 Sept 202616 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
N-iX / undisclosed EU fintech client
Source reference
OPP-20260907-1033
Location evidence
Kraków listing / EU and UK client
Employment type
full time
Required skills
AWS, Kotlin or Python, LLM APIs, vector search, RAG, MCP gateway, AI observability/evaluation, distributed systems, GCP/BigQuery, Grafana
Expected duration
Full-time; contract duration not published

What this signal says

Leadiy recorded “Senior AI Platform Engineer” as a hiring signal, not as a copied job-board article. The public page keeps only the facts needed to understand the commercial request: the role or outcome, normalized technologies, engagement format, stated budget, observation time and the exact destination for a response. Contact names, email addresses, outreach drafts, private notes and the imported source row stay outside this page. The useful question is therefore narrow: what kind of software demand is visible here, and what should a supplier verify before deciding to respond?

How the technology was normalized

For comparison across sources, Leadiy maps the visible stack to Python, AWS, RAG, Vector search and knowledge systems, Grafana, Monitoring and alerting. 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

The engagement classifier places this record in Hiring: an employment-oriented search for an individual contributor or team member. That decision comes from the supplied opportunity-type language, using the same categories as Hiring Pulse—project, contract, RFP or procurement, hiring, and other or unclear. It does not convert an ambiguous request into a stronger claim. The imported public-safe work-format field also says “Remote B2B; the listing does not state a Poland-only rule, but Ukraine cross-border and agency-nominated eligibility must be confirmed.” The stated duration context is “Full-time; contract duration not published.”

Reading the budget

The source did not provide a budget for this opportunity. “Budget not provided by source” describes that missing commercial field; it does not mean the opportunity page is unpublished or unavailable. Leadiy does not estimate a range from similar records because fixed projects, hourly work, contracts and salaries are not safely interchangeable. Confirm compensation, currency, rate unit, scope and payment terms at the response destination before deciding whether to proceed.

Demand context from Hiring Pulse

In the current 30-day Hiring Pulse, Python appears in 384 of 1336 observed opportunities (28.7%). 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

Timing here is explicit: observed by Leadiy on 7 Sept 2026, 23:33 UTC, 16 days old at the current request, then admitted to the public catalog after 42.55 hours. The system never recomputes a shorter delay because a page is requested frequently. This is an evidence timestamp, not a promise that the source remains open, and not a reconstruction of when the buyer first posted. Visitors who need the freshest matched records use the authenticated product; the public page is intentionally the later, indexable edition.

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: "Senior Software Engineer (Python) — network source-of-truth platform", "Lead MLOps Engineer — AWS SageMaker", "CTO / Solution AI Architect for new AI product" 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

This page’s action route is explicit: it opens Just Join IT / N-iX on justjoin.it. Leadiy provides context and provenance, not an application proxy. A click can therefore lead to a third-party login or proposal workflow governed by that service’s own privacy, eligibility and payment rules. The public catalog never replaces those instructions and never publishes a hidden email address as an alternate route. Review the destination hostname, confirm that the opportunity is still active, and respond only through a path you trust.

Public evidence versus earlier access

Leadiy sells timing, not a different truth: the same opportunities, one day earlier. Subscribers receive the fresh matched feed and private workflow before a record crosses its public time fence. The later page remains complete enough to stand alone, with provenance, classification, budget reading, aggregate context and related records. Subscription is not preferential treatment from the buyer, and it cannot guarantee availability or success. It is earlier awareness plus an operational workspace; the public catalog is the delayed evidence layer.

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