Production AI Agent / LLM Developer for Laravel SaaS
Contract evidence involving PostgreSQL, OpenAI API, RAG. First observed 24 Sept 2026; the response opens on upwork.com.
- Technology
- PostgreSQLOpenAI APIRAGAI agents and agentic workflowsTool/function callingVector search and knowledge systems+1 more in the evidence
- Budget
- Not provided by source
- Work format
- Contract
- Role family
- AI / ML engineer
- Seniority
- Level not stated
- Observed
- 24 Sept 20266 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- upwork.com
Opportunity summary
Production AI Agent / LLM Developer for Laravel SaaS. The source classifies this as contract work involving PostgreSQL, OpenAI API, RAG, AI agents and agentic workflows, Tool/function calling, Vector search and knowledge systems, Agent memory. Location or remote eligibility: Worldwide remote; individual freelancer route; agency/team eligibility not stated.
Technology and scope
The reported stack is OpenAI API; RAG/vector search; structured outputs; tool/function calling; Laravel/PHP; PostgreSQL; PDF/Word/Excel processing; agent memory; permissions; evaluation. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Contract: time-bounded or ongoing contractor capacity. Source timing: 6+ months; more than 30 hrs/week; initial defined POC
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 24 Sept 2026, 00:00 UTC. Public since 30 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, PostgreSQL appears in 282 of 1186 observed opportunities (23.8%). 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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