Related skills
javascript python typescript deployment llmπ Description
- Lead multi-system AI deployments end-to-end; manage customer relationships.
- Own the AI workshop program for your pod; lead sessions; production mapping.
- Architect multi-agent solutions; pick coordination patterns per workflow and compliance.
- Design client-specific MCP resource packs that enhance server-driven intelligence for each customer.
- Own Deployment Kit quality; ensure docs are clear for non-engineers to follow.
- Lead Solutions Enablement Sprints; transfer deployment patterns with training and certification.
π― Requirements
- 6β10+ yrs prod software eng; 3+ yrs deploying AI/ML; Python; TS/JS; BS/MS in CS.
- Proven record leading complex enterprise engagements; customer relationships.
- Deep production LLM experience: multi-agent orchestration, MCP usage, RAG optimization.
- System architecture spanning enterprise systems, cloud infra, explainable AI.
- Demonstrated ability to create reusable technical assets; think platforms, not projects.
- Strong communication; docs, runbooks; Deployment Kits; travel 25β50%; UK eligibility.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest β finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!