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5 Llm Integration Jobs in Federal Territory - October 2026 - High Salaries
Showing 5 jobs results for
"llm integration"
in Federal Territory
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Undisclosed
- Build evaluation frameworks, guardrails, and monitoring mechanisms to measure AI accuracy, reliability, performance, and safety.
- Develop APIs and integrations to connect AI agents with business applications, databases, and external tools.
- Prototype and experiment with emerging AI technologies, then convert successful prototypes into production-ready AI features. ...
Posted
3 days ago
Undisclosed
- Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
- Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
- Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences. ...
Posted
16 days ago
Undisclosed
- Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
- Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
- Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences. ...
Posted
2 months ago
Undisclosed
- Partner with engineering leadership on delivery capacity, resource planning, and release sequencing.
- Champion technical credibility across the delivery team: engineering literacy, code-level scoping, and hands-on familiarity with the deployment stack.
- Drive adoption of AI and AI agent tooling across delivery workflows — reporting, risk detection, requirements analysis, project automation. ...
Posted
16 days ago
Undisclosed
- Partner with engineering leadership on delivery capacity, resource planning, and release sequencing.
- Champion technical credibility across the delivery team: engineering literacy, code-level scoping, and hands-on familiarity with the deployment stack.
- Drive adoption of AI and AI agent tooling across delivery workflows — reporting, risk detection, requirements analysis, project automation. ...
Posted
2 months ago
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