Contract
Python Backend / AI Platform Engineer — data pipelines, RAG, agents and AWS
Hiring evidence involving Python, FastAPI, PostgreSQL. First observed 30 Aug 2026; the response opens on upwork.com.
- Budget
- Not provided by source
- Work format
- Hiring
- Role family
- AI / ML engineer
- Seniority
- Lead / principal
- Observed
- 30 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 technology buyer
- Source reference
- OPP-20260830-330
- Location evidence
- El Segundo, California / US Pacific Time
- Required skills
- Python, FastAPI, PostgreSQL, pgvector, Celery, Redis, AWS ECS/Fargate, RDS, S3, Bedrock, Docker, GitHub Actions, Google Drive API, observability
- Expected duration
- More than 30 hours/week; 3–6 months; ongoing potential
What this signal says
The observed opportunity titled “Python Backend / AI Platform Engineer — data pipelines, RAG, agents and AWS” 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, PostgreSQL, pgvector, Redis, Docker, GitHub Actions, AWS, RAG, Monitoring and alerting, AWS + Docker + GitHub Actions. 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 current format label is Hiring, meaning an employment-oriented search for an individual contributor or team member. Leadiy uses this shared taxonomy so technology hubs can show whether demand arrives as delivery work, capacity, procurement or employment. Classification does not resolve contract law, worker status or platform terms, and it should not be read as an endorsement of eligibility. A timing signal is present as “Budget not provided by source (open while active),” but the source should be checked before treating it as a live deadline.
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 274 of 1124 observed opportunities (24.4%). 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 30 Aug 2026, 12:02 UTC; at page render it is 11 days old. Its public eligibility time was calculated once from that observation using a deterministic 30.18-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: "AI Sales Operations Employee — autonomous CRM and outreach platform", "Enterprise multi-agent AI automation and workflow platform", "Gamified AI-powered learning platform for high-school students" 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 Upwork at upwork.com. 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 product promise stays deliberately plain: the same opportunities, one day earlier. Public visitors can inspect this delayed record without an account, but the private product exists for earlier matching and action. Neither route changes the buyer’s requirements, the third-party application flow or the probability of winning work. The value difference is lead time and workflow. Keeping that claim next to a useful, self-contained public page avoids a teaser model in which essential provenance or the true destination is withheld.
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.