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AI and Automation
AI Delivery Engineer
Remote - Global
Remote
Contract
Lead
Posted December 8, 2025
About this Position
Build client-critical software at KeY2Moon
At KeY2Moon Solutions, you will work on real client problems that affect revenue, operations, and customer experience. We combine agency speed with engineering discipline, so people who join us get broad ownership and measurable impact.
Direct exposure to product, architecture, and client decision-making
A client validated AI value in pilot mode, but outputs are inconsistent and difficult to audit, making leadership hesitant to roll it out to customer-facing operations.
The challenge is not model novelty. The real work is reliability, guardrails, fallback behavior, and measurable business impact in live workflows.
You will architect and implement production-ready AI workflow patterns with strong evaluation and governance practices.
Engagement Stack
Python
OpenAI API
LangChain
PostgreSQL
Vector DB
Responsibilities
• Design robust workflow orchestration in Python around AI decision points using OpenAI APIs and retrieval pipelines
• Define evaluation and quality criteria tied to business impact, not vanity metrics, with measurable thresholds
• Implement fallback and review flows for low-confidence model outcomes with auditable logging and traceability
• Partner with product and compliance stakeholders on responsible rollout and governance-ready operating models
Requirements
• You have taken AI features from pilot to production with clear reliability improvements in real user workflows
• You can design safety and escalation patterns for sensitive operational workflows with policy-aware controls
• You understand how to balance model quality, latency, and cost using retrieval/evaluation instrumentation
• You can align technical decisions with governance and compliance expectations in enterprise delivery contexts
Nice to have
• Experience with regulated or audit-sensitive industries where model behavior needs strong documentation
• Experience integrating AI into service operations or support tooling with measurable productivity outcomes
• Experience communicating AI limitations transparently to business teams and client leadership
Hiring process
1. Intro call with talent team (30 minutes)
2. Practical role interview focused on recent project work (60-90 minutes)
3. Final panel on collaboration, ownership, and client communication
4. Offer discussion and onboarding plan
