Founding AI/ML Engineer

5 hours ago

Manila, National Capital Region, Philippines Edward Jacobs Full time ₱1,200,000 - ₱2,400,000 per year

About the product (AI CRM):

We're building an AI-first CRM used by recruiters all day. Think: rich records (companies/contacts), pipeline/Kanban, notes & tasks, search & saved views, and CSV import/export—with AI woven into the workflow (summaries, retrieval-based answers, safe automations). You'll turn messy, real-world recruiting data into reliable AI features that meet strict latency, cost, and safety constraints. (We'll share deeper internals later in process.)

What makes this complex:

  • Chat + retrieval must be grounded in our data (no hallucinations) and evaluated continuously—your work sets up eval hooks and dashboards to track faithfulness, relevance, and answer quality.
  • We ship secure LLM features by default (prompt-injection defenses, data-exfil controls, PII handling) aligned to the OWASP LLM Top-10. OWASP Foundation+1
  • The CRM has multi-step flows; some AI behaviors are agentic (tool use, routing, hand-offs). We orchestrate these explicitly (graph/guardrails) so they're observable and debuggable. LangChain Blog

What you'll lead (high-level, IP-safe):

  • Production retrieval + chat: chunking/embedding strategies, re-ranking where needed, and prompted answer synthesis wired to our sources—with traces and test sets.
  • Prompt & chatbot engineering: instruction design, system/task decomposition, multi-turn memory, tool-calling boundaries, and latency budgets; you'll apply modern prompting patterns and iterate with experiments. OpenAI Help Center+1
  • Evaluation & observability: reference-free RAG evals (e.g., faithfulness/relevance), regression tests, and per-feature dashboards.
  • Safety & privacy: align to OWASP LLM risks; design redaction/guardrails that preserve UX without exposing internals. OWASP Foundation
  • Agentic orchestration (later): structured, node-based flows for tool use and human-in-the-loop steps (graph-style orchestration). LangChain Blog

Must-have capabilities:

  • Shipped LLM/NLP or search features in production (grounded answers, not just demos).
  • Strong prompting instincts (system vs. user prompts, few-shot, constrained output formats), multi-turn state, and tool calling. OpenAI Cookbook
  • Comfortable building RAG pipelines with measurable quality (faithfulness, answer relevance) and cost/latency SLOs.
  • Security/privacy mindset aligned to OWASP LLM Top-10 (prompt injection, data exfiltration, etc.). OWASP Foundation
  • Communicate clearly; ship in small, observable increments.

Nice-to-have:

  • Experience orchestrating agent workflows (graphs, hand-offs, tool routing) and keeping them debuggable. LangChain Blog

How we work:

Remote-first, senior, high-trust. Short cycles, preview-before-merge. We measure AI by quality, safety, and cost, not just speed.

Compensation & equity:

Competitive salary plus founding equity (discussed during process).

How to apply:

Email your CV to   with the subject: Founding AI/ML (NLP) — AI CRM. Or just click Quick Apply.

(We'll request portfolios/demos later in the process.)

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