Applied AI Engineer
- Role
- AI / ML
- Employment
- Full-time
- Company size
- Startup
Open to CA only · UTC-5…UTC-5. Set where you work from to check your eligibility.
No BS summary
Applied AI engineer for production conversational LLM agents: replies, booking, nurture, support, and messaging workflows. Must have shipped real-user LLM systems, built evals, and integrated LLMs with email, CRM, or messaging systems. Remote Canada, with a few hours overlap with US Eastern time.
Core skills
Required skills
Optional skills
We are hiring an Applied AI Engineer to own the conversation layer of an AI-first fundraising platform: the agents that handle every reply, carry conversations through to booked meetings, and look after every relationship across our warm outreach, our investor network, and investor relations.
Paires is where founders come to raise capital. We pair them with the right investors from a large, engaged global investor network, then our agents run the warm outreach and manage the relationships that turn into meetings. It is a two-sided platform, live with paying clients, profitable and self-funded, built by a small, senior, flat team that ships fast.
THE ROLE
You own how Paires converses: every reply handled well and in time, booking, nurture, and the coaching experiences we are building on the same data. It starts as our reply and messaging system and grows into a core part of the product. You will also build broader applied-AI features across the platform. What this seat is not: a research seat. An internal knowledge bot or a RAG demo is not the bar. We want people whose systems hold real conversations with real people outside their team, day after day. Cold outreach from nothing is a different seat too - here the conversations already exist, and your agents carry them.
WHAT YOU WILL OWN
- Agents that read inbound messages and draft the right reply, fast, with a human in the loop.
- The messaging layer across our warm outreach, our warm investor network, and investor relations, not just one inbox.
- Conversational agents end to end: replies, booking, nurture, and support that reads human.
- The eval spine that gates quality: golden sets, judges, and the guardrails that hold as the conversations grow.
- Broader applied-AI features: classification, extraction, routing, summarization.
YOU ARE A FIT IF YOU
- Ship conversational LLM systems to production with real users: reply handling, support, booking, or nurture agents. Inbound work counts fully here.
- Have built evals yourself: golden sets from scratch, judge criteria, ship or rollback decisions made on the numbers.
- Have integrated LLMs with email, CRM, or messaging systems.
- Think like an operator, and know the business goal behind the message.
- Are an engineer first. We run roughly 80/20 engineering to research.
- Move fast with AI tooling and own outcomes.
- Our stack: Python, Supabase, Pydantic AI, Claude Agent SDK, AWS. If you have shipped on any of it, lead with that. Bonus: email and CRM integrations, RevOps exposure, sales or IR experience.
WHAT WE OFFER
Fully remote and async. Your day overlaps with US Eastern time for a few hours - not full US hours. Meetings batch on Mondays and Thursdays, the rest is deep work. The best AI tooling, paid (Claude Code, Cursor, top models).
How to apply: hit apply, which takes you to our short application form. We read every application.
What you'll do
- Own how Paires converses: replies, booking, nurture, and coaching experiences built on the same data.
- Build broader applied-AI features across the platform.
- Own agents that read inbound messages and draft the right reply quickly with a human in the loop.
- Own the messaging layer across warm outreach, the warm investor network, and investor relations.
- Build conversational agents end to end, including replies, booking, nurture, and support that reads human.
- Own the eval spine that gates quality: golden sets, judges, and guardrails that hold as conversations grow.
- Build broader applied-AI features such as classification, extraction, routing, and summarization.
What they require
- Experience shipping conversational LLM systems to production with real users, such as reply handling, support, booking, or nurture agents.
- Experience building evals yourself, including golden sets from scratch, judge criteria, and ship or rollback decisions made on the numbers.
- Experience integrating LLMs with email, CRM, or messaging systems.
- Think like an operator and know the business goal behind the message.
- Engineer-first profile; the role is roughly 80/20 engineering to research.
- Move fast with AI tooling and own outcomes.
- A few hours of overlap with US Eastern time.
- Preferred: Experience with email and CRM integrations.
- Preferred: RevOps exposure.
- Preferred: Sales or investor relations experience.
Benefits
- Fully remote and async.
- Meetings batch on Mondays and Thursdays; the rest is deep work.
- Best AI tooling paid, including Claude Code, Cursor, and top models.
Paires is where founders come to raise capital. They pair founders with the right investors from a large, engaged global investor network, then their agents run warm outreach and manage relationships that turn into meetings.