Contract
Senior AI FullStack/ML Engineer — Python, Go and FastAPI
Hiring evidence involving Python, FastAPI, Docker. First observed 29 Aug 2026; the response opens on upwork.com.
- Budget
- Not provided by source
- Work format
- Hiring
- Role family
- AI / ML engineer
- Seniority
- Senior
- Observed
- 29 Aug 202611 days old
- Response destination
- upwork.com
Source job details
Structured facts are published only when supplied by the source; missing values are never invented.
- Hiring organization
- Undisclosed US mid-sized technology company
- Source reference
- OPP-20260829-280
- Location evidence
- United States / timezone not disclosed
- Employment type
- contractor
- Required skills
- Python, Go, FastAPI, databases, REST APIs, distributed systems, ML fundamentals, statistics, linear algebra, optimization, PyTorch/TensorFlow/scikit-learn, LLMs, RAG, vector databases, Docker, cloud
- Expected duration
- Less than 30 h/week; 3–6 months; ongoing; contract-to-hire
What this signal says
Leadiy recorded “Senior AI FullStack/ML Engineer — Python, Go and FastAPI” 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
This record contributes to the normalized topic set Python, FastAPI, Docker, 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 The source may contain additional context, but no unpublished contact or outreach field is used to create the public classification.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
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 “Less than 30 h/week; 3–6 months; ongoing; contract-to-hire.” Work-location context is recorded as “Worldwide remote Upwork listing. Agency eligibility is not explicit; use a named senior engineer and clarify B2B delivery before proposal spend..”
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 250 of 1093 observed opportunities (22.9%). 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 29 Aug 2026, 18:00 UTC, 11 days old at the current request, then admitted to the public catalog after 24.71 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
The related-record layer searches already published pages for overlap in the controlled technology catalog. It does not inspect private contacts and it does not use a buyer name as a recommendation signal. The closest current titles are: "AI full-stack and agentic developer", "AI Engineer — production RAG pipeline with citations", "Part-time AI full-stack developer for business automation solutions" Treat them as adjacent demand signals, not substitutes for reading the original post. Their engagement format, budget unit, eligibility and delivery expectations may differ even when a framework or platform matches. This page keeps that uncertainty visible rather than manufacturing a single “typical” opportunity from unlike records.
Where the response goes
This page’s action route is explicit: it opens Upwork on upwork.com. 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.
See the $39 / 30-day plan →Your response leaves Leadiy.
The button opens upwork.com. That third-party page controls login, eligibility, proposal fields, privacy and the current status of the opportunity.