Senior AI Engineer — Generative AI / LLM Systems
Hiring evidence involving Python, OpenAI API, RAG. First observed 10 Sept 2026; the response opens on justjoin.it.
- Technology
- PythonOpenAI APIRAG
- Budget
- Not provided by source
- Work format
- Hiring
- Role family
- AI / ML engineer
- Seniority
- Senior
- Observed
- 10 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
- cerebre
- Source reference
- OPP-20260910-1090
- Location evidence
- 100% remote across Polish locations; US-headquartered / CET overlap
- Employment type
- full time
- Required skills
- Python APIs, OpenAI and open-source LLMs, RAG, embeddings, vector databases, FalkorDB/knowledge graphs, LangChain, LlamaIndex, MCP, agents, cloud, evaluation and monitoring
- Expected duration
- Full-time; long-term; hours and start date not published
What this signal says
This is a delayed public reading of the demand behind “Senior AI Engineer — Generative AI / LLM Systems.” It is deliberately smaller than the private workspace record and deliberately more interpretive than the source listing. The page identifies the work, translates its technology language into Leadiy’s controlled catalog, names the commercial format and preserves the original application destination. It does not publish personal contacts, internal qualification, prepared outreach or hidden source fields. Read it as an evidence note about one observed opportunity, with the source link retained for the current authoritative details.
How the technology was normalized
This record contributes to the normalized topic set Python, OpenAI API, RAG. The mapping is evidence-based and intentionally conservative. It looks for named technology terms in the public-safe opportunity fields, resolves aliases, then checks any combination as a set of requirements rather than a loose keyword. This makes the page discoverable under stable technology hubs without pretending that a tag replaces technical due diligence. The source may contain additional context, but no unpublished contact or outreach field is used to create the public classification.
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. Cross-border contracting from Ukraine and agency-supplied named-candidate eligibility are not explicit..” The stated duration context is “Full-time; long-term; hours and start date 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 402 of 1360 observed opportunities (29.6%). 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
Leadiy first observed this signal on 10 Sept 2026, 02:29 UTC; at page render it is 14 days old. Its public eligibility time was calculated once from that observation using a deterministic 25.41-hour delay inside the promised 24–48 hour window. The delay is not the source publication age and should not be presented as one. It creates a clear product boundary: authenticated customers can work from the live matched feed, while search engines and unauthenticated visitors receive a later evidence edition. The stored eligibility timestamp prevents an early publish after restarts or repeated syncs.
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 AI Engineer — conversational healthtech platform", "Mid AI / Backend Engineer — agentic B2B platform", "AI Full-Stack Developer — deterministic RAG evaluation fix" 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 + cerebre official careers 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.
The same opportunities, one day earlier.
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