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AI Engineering Lead

Diverse Lynx · Remote

Strong hiring record · median 3 days open

100100

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Actively hiring

Posted today · still listed on the employer's own board · How we score

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  • Posted today
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AI Engineering Lead at Diverse Lynx. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

AI Engineering Lead

Location

Remote.

Yrs.

Of Exp

- 10+ yrs.

Type

Contract

Pay rate

$65-70/hr

Role Summary

Lead the engineering team building production-grade AI/LLM systems. The lead owns LLM architecture, prompt and evaluation strategy, AI observability, and cost Eligible to workimization, and mentors engineers to deliver reliable AI capabilities.

Key Responsibilities

  • Define and own the architecture of production AI/ML and LLM-based systems, including agentic workflows and RAG patterns.
  • Establish prompt engineering standards, prompt versioning and guardrails.
  • Build evaluation frameworks (offline and online) to measure accuracy, safety, hallucination and regression.
  • Implement AI observability: tracing, token/latency metrics, quality monitoring and drift detection.
  • Drive cost Eligible to workimization across model selection, caching, batching and token usage.
  • Lead, mentor and review the work of AI engineers; set coding and quality standards in Python.
  • Partner with architecture, security and business teams to ensure responsible-AI and governance controls.
  • Absorb the 1-month knowledge transition from the MVP delivery team and own AI technical continuity.

Required Skills & Experience

  • 10+ years in software engineering, with recent hands-on experience shipping production AI/ML systems.
  • Strong expertise in LLM architecture, prompt engineering and evaluation frameworks.
  • Advanced Python skills.
  • Experience implementing AI observability and cost controls.
  • Proven team leadership and technical mentoring experience

Preferred / Good to Have

  • Experience with LanEligible to workhain/LangGraph, LlamaIndex or similar frameworks; AWS Bedrock / Azure OpenAI.
  • Knowledge of AI risk management and model governance in financial services.
  • Banking/payments domain exposure.

Skills

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