Forward AI Deployment Engineer (FDE)
- Джерело:
- djinni.co
Що робити
- Embed directly with the client’s operational team to find the workflow that’s actually costing them time, quality, or money before recommending any tooling.
- Own the redesign end to end: rework the decision flow and handoffs around AI, then take the resulting system into production yourself.
- Translate a vague, cross-functional business problem into a concrete technical plan the client’s team can actually execute against.
- Prototype fast enough to show the client what’s possible, then build only the parts of that prototype the redesigned workflow actually needs.
- Where the redesign calls for it, build the agentic systems, RAG pipelines, or custom data pipelines that make it real never a deliverable in itself, always because the workflow needs it running in production.
Що очікуємо
- Proven experience taking AI systems from prototype to production inside a real operating environment, not just in a lab or sandbox.
- You treat LLM/RAG architectures, agentic systems, cloud platforms, and data pipelines as tools for redesigning how work gets done, not as the deliverable — and you’re strong and current enough with all of them to actually use them that way.
- Comfort mapping decision logic that’s partly undocumented, and judgment about where automation should stop and human accountability should start.
- Excellent communication and stakeholder management — able to advise a client directly and escalate without being asked.
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