Senior AI Engineer — production LLM agents / MCP
Contract evidence involving TypeScript, Node.js, Python. First observed 28 Sept 2026; the response opens on job-boards.greenhouse.io.
- Technology
- TypeScriptNode.jsPythonPostgreSQLDockerGitHub Actions+5 more in the evidence
- Budget
- Not provided by source
- Work format
- Contract
- Role family
- AI / ML engineer
- Seniority
- Senior
- Observed
- 28 Sept 20264 days old
- Deadline status
- Deadline not provided — verify source
- Response destination
- job-boards.greenhouse.io
Opportunity summary
Senior AI Engineer — production LLM agents / MCP. The source classifies this as contract work involving TypeScript, Node.js, Python, PostgreSQL, Docker, GitHub Actions, AWS, OpenAI API, RAG, OpenTelemetry, AWS + Docker + GitHub Actions. Location or remote eligibility: Fully remote and Ukraine-specific; contract route is for a named engineer, while agency eligibility is not stated.
Technology and scope
The reported stack is Python, TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS, OpenAI, Anthropic, Google, Bedrock, MCP, RAG, LangGraph/Pydantic AI, OpenTelemetry. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Contract: time-bounded or ongoing contractor capacity. Source timing: Full-time contract; duration not published; fixed 14:00–23:00 EEST schedule
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 28 Sept 2026, 04:31 UTC. Public since 3 Oct 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, TypeScript appears in 249 of 1040 observed opportunities (23.9%). 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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