AI Engineer
2Logics
Remote
Applied Intelligence
- Lagos
- Hybrid
- Full-time
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
- Production experience with LLM applications
- Evaluation mindset
- API and data pipeline fluency
- Clear risk communication
- Private/cloud inference ops
- Vector stores
- Document AI
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
- 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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