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Lead Applied AI Engineer — agentic RAG and geospatial copilot

Contract evidence involving Python, FastAPI, PostgreSQL. First observed 6 Sept 2026; the response opens on upwork.com.

Technology
PythonFastAPIPostgreSQLpgvectorDockerOpenAI API+3 more in the evidence
Budget
Not provided by source
Work format
Contract
Role family
AI / ML engineer
Seniority
Lead / principal
Observed
6 Sept 202660 days old
Deadline status
Deadline not provided — verify source
Response destination
upwork.com
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Opportunity summary

Lead Applied AI Engineer — agentic RAG and geospatial copilot. The source classifies this as contract work involving Python, FastAPI, PostgreSQL, pgvector, Docker, OpenAI API, RAG, Monitoring and alerting, Python/FastAPI + OpenAI + pgvector. Location or remote eligibility: Worldwide remote; named senior hands-on specialist required; agency eligibility not published.

Technology and scope

The reported stack is Python, FastAPI, PostgreSQL, PostGIS, pgvector, Azure OpenAI/OpenAI, LangGraph/Semantic Kernel, LlamaIndex, knowledge graphs, Docker, REST/event processing, LLM evaluation and observability. Check the source for required versions, deliverables and which technologies are mandatory.

Engagement details

Contract: time-bounded or ongoing contractor capacity. Source timing: More than 30 h/week; 6+ months; first phase may extend long term

Budget

Budget not provided by source. Confirm the rate or project value before preparing a proposal; no estimate has been substituted.

Dates and availability

First observed by Leadiy on 6 Sept 2026, 11:31 UTC. Public since 20 Sept 2026, 00:30 UTC. Deadline not provided — verify source. A listed deadline does not confirm that applications are still accepted. These are observation and publication dates, not a reconstruction of the source posting date. Date-only deadlines have no supplied timezone; the date changes here at midnight UTC.

Related market context

In the current 30-day Hiring Pulse, Python appears in 69 of 315 observed opportunities (21.9%). Counts are multi-label, so one opportunity may contribute to several technology buckets. This is a separate aggregate sample, not a confirmation of this opportunity’s availability.

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