AI Engineer

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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