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Enterprise multi-agent AI automation and workflow platform

Hiring evidence involving Python, FastAPI, PostgreSQL. First observed 30 Aug 2026; the response opens on upwork.com.

Technology
PythonFastAPIPostgreSQLpgvectorRedisDocker+9 more in the evidence
Budget
Not provided by source
Work format
Hiring
Seniority
Senior
Observed
30 Aug 202612 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 worldwide buyer
Source reference
OPP-20260830-324
Location evidence
Worldwide; timezone not published
Employment type
contractor
Required skills
Python, FastAPI, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK/API, PostgreSQL, Redis, pgvector/Pinecone/Weaviate/Qdrant, Docker, Kubernetes, AWS/Azure/GCP, n8n, Kafka/RabbitMQ, Prometheus, Grafana
Expected duration
30–40 hours/week; 3–6 months; ongoing

What this signal says

Leadiy recorded “Enterprise multi-agent AI automation and workflow platform” 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, FastAPI, PostgreSQL, pgvector, Redis, Docker, AWS, OpenAI API, OpenAI Agents SDK, n8n, Prometheus, Grafana, Python/FastAPI + OpenAI + pgvector, n8n + OpenAI + CRM/API, Agents SDK + Redis + PostgreSQL. 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 “Worldwide remote; contract-to-hire; agency eligibility not stated.” The stated duration context is “30–40 hours/week; 3–6 months; ongoing.”

Reading the budget

No budget value was supplied in the imported source record. The page labels this plainly as “Budget not provided by source” so publication status cannot be confused with compensation coverage. An absent figure is not converted into zero and is not inferred from neighbouring opportunities. The original destination remains the authority for price, salary, rate unit, fees, milestones and any later updates.

Demand context from Hiring Pulse

In the current 30-day Hiring Pulse, Python appears in 274 of 1124 observed opportunities (24.4%). Counts are multi-label, so one opportunity may contribute to several technology buckets. The comparison is dated through 2026-09-11 and describes Leadiy’s observed sample, not the whole software market. It helps answer whether this record sits beside other visible signals, but it does not prove future demand, market share or buyer intent. The individual page and the aggregate Pulse use the same public-safe vacancy and project scope, while direct leads and personal data remain excluded from both.

Observation and publication timing

Leadiy first observed this signal on 30 Aug 2026, 02:00 UTC; at page render it is 11 days old. Its public eligibility time was calculated once from that observation using a deterministic 29.63-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

Similarity is based on shared normalized technology tags and then recency, not on company identity or copied source prose. "AI full-stack and agentic developer", "Production document-intelligence pipeline: OCR, LLM extraction and cited RAG", "Senior AI Chatbot Developer — completion, RAG and Meta/web integrations" These neighbours are useful for comparing delivery shape, budget visibility and technology overlap. They are not duplicates and they do not imply that the same buyer, scope or qualification rules apply. When no suitable public neighbour exists, the page says so instead of padding the section with unrelated links. New public records can change this comparison set after their own delay and quality checks pass.

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.

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