AI Engineer

2Logics

Remote
Careers/AI Engineer

Applied Intelligence

  • Lagos
  • Hybrid
  • Full-time

AI Engineer

Ship grounded assistants and document intelligence with evaluation, guardrails, and human accountability.

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Mission

Enterprise AI

Enterprise knowledge that must not invent policy.

Assistants must be grounded, evaluable, and accountable—not demo theatre.

Responsibilities

  • Design retrieval and evaluation loops
  • Integrate assistants into secure product surfaces
  • Partner with security on redaction and access
  • Document failure modes and ownership

Required Skills

  • Production experience with LLM applications
  • Evaluation mindset
  • API and data pipeline fluency
  • Clear risk communication

Preferred Skills

  • Private/cloud inference ops
  • Vector stores
  • Document AI

What success looks like

Answers cite sources; refusals are deliberate; golden sets catch regressions before users do.

Experience

  • 3+ years building production ML/LLM systems Technology
  • Python
  • RAG
  • Evaluation
  • TypeScript

Hiring process

  • 01 Application — CV, links, and a short note on work you are proud of. We read carefully; we do not farm volume.
  • 02 Initial Conversation — A human conversation about craft, motivations, and how we work—no trick questions.
  • 03 Technical Discussion — Architecture and trade-offs on systems like yours. We care how you think.
  • 04 Practical Exercise — Only where appropriate—time-boxed, respectful of your evenings, reviewed with feedback.
  • 05 Team Conversation — Meet people you would build with. Culture fit means shared standards, not sameness.
  • 06 Offer — Clear scope, expectations, and growth path. Questions welcome.

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