Recruiting Engineer
Sully.ai · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Build recruiting automations using AI and engineering.
- Own end-to-end sourcing infrastructure.
- Develop AI tooling for candidate evaluation.
- Integrate recruiting data for insights.
- Drive hiring through experimentation and ownership.
About the role
About Us
At Sully.ai, We’re Building the Most Impactful Healthcare Company on Earth
We believe that access to a great doctor is a basic human right. Today, that’s not a reality. Delays, misdiagnoses, administrative chaos, and burnout plague the system.
Our Mission
One Human, One Doctor.
We enable our customers to staff 30% of their workforce with AI by creating a shared agent architecture for scale and efficiency. All powered by our own patented, world-class models and deployed in real-world care.
About The Role
Contract role with long term potential, open to fractional. Recruiting-focused equivalent of a GTM Engineer: use engineering, automations, and AI to make top-tier hiring efficient and repeatable.
Key Responsibilities
- Own sourcing infrastructure end-to-end: signal → outreach → booked interviews
- Build automated outbound across LinkedIn, email, and new channels with personalization at scale
- Ship AI tooling for candidate evaluation, messaging, and targeting improvement
- Integrate ATS, sourcing, enrichment, and internal data into a reliable recruiting data layer
- Close the loop: source/message → replies → interviews → hires
- Run weekly experiments; scale winners, kill losers
- Amplify Sully.ai in technical communities to grow inbound
Hard Requirements
- You are a technical founder who has built recruiting products OR you have both hands on recruiting experience & technical ability to build agentic recruiting workflows
- Strong Python or TypeScript; APIs, webhooks, event-driven systems
- Builds workflows/tools (not just SaaS configuration)
- Applied LLM experience: eval, grounding, quality control
- Outbound + experimentation mindset
- High bar for talent quality in AI/technical roles
- High-ownership operator: ships fast, iterates on metrics
Key Results (First 90 Days)
- Fully automate candidate sourcing end-to-end including signal ingestion, list aggregation, enrichment, scoring, and multichannel personalized outreach.
- Close the loop with real-time tracking from sourced candidate to interview to hire, enabling weekly experimentation and measurable funnel lift.
- Build workflows & automations that contribute to 3+ hires/month.
Why Join Sully.ai?
- 🔥 Revolutionizing the antiquated $800B+ Healthcare market
- 🧠 60%+ Ex-founders who have built, scaled, exited. We hire A-players
- ⚡️ Speed matters: we operate with urgency, autonomy, and ownership
- 🧪 You’ll work on real, first-of-their-kind problems at the edge of AI and medicine
- ❤️ Your work directly unlocks doctors to reclaim their time, and patients get better, faster care
Key skills/competency
- Python
- TypeScript
- APIs
- Webhooks
- Event-driven systems
- LLM
- AI
- Recruiting
- Automation
- Experimentation
Skills & topics
- Recruiting Engineer
- Python
- TypeScript
- AI
- LLM
- Automation
- Sourcing
- Experimentation
- Recruiting
- Healthcare Technology
How to get hired
- Tailor your resume: Highlight Python, TypeScript, LLM, and recruiting automation experience.
- Showcase your work: Include a portfolio of recruiting tools or workflows built.
- Demonstrate ownership: Emphasize experience with end-to-end process ownership and experimentation.
- Understand the mission: Align your application with Sully.ai's goal of revolutionizing healthcare.
- Prepare for technical interviews: Be ready to discuss building agentic recruiting workflows.
Technical preparation
Master Python/TypeScript for API integrations.,Build agentic workflows, not just configure SaaS.,Apply LLMs for candidate evaluation.,Design event-driven systems for recruiting.
Behavioral questions
Describe a time you automated a complex process.,How do you approach iterating on metrics?,Showcase your high-ownership operator skills.,Explain your experimentation mindset for hiring.
Frequently asked questions
- What is a Recruiting Engineer at Sully.ai?
- A Recruiting Engineer at Sully.ai uses engineering, automation, and AI to make top-tier hiring efficient and repeatable. This role is the equivalent of a GTM Engineer but focused on recruiting.
- What programming languages are required for the Recruiting Engineer role at Sully.ai?
- Strong proficiency in Python or TypeScript is required, along with experience in APIs, webhooks, and event-driven systems.
- Does Sully.ai use AI in their recruiting process?
- Yes, Sully.ai heavily utilizes AI, including applied LLM experience for candidate evaluation, messaging, and targeting improvement, as part of their agentic recruiting workflows.
- What kind of experience is considered 'Hard Requirements' for this role?
- Hard requirements include being a technical founder who has built recruiting products, or having hands-on recruiting experience combined with the technical ability to build agentic recruiting workflows. Applied LLM experience and an experimentation mindset are also crucial.
- What are the first 90-day goals for a Recruiting Engineer at Sully.ai?
- Within the first 90 days, you'll fully automate candidate sourcing, establish real-time tracking from sourcing to hire for weekly experimentation, and build workflows contributing to 3+ hires per month.
- Is the Recruiting Engineer position at Sully.ai a full-time or contract role?
- The role is a contract position with long-term potential and is also open to fractional arrangements.
- What makes Sully.ai unique in the healthcare market?
- Sully.ai is revolutionizing the $800B+ healthcare market by enabling customers to staff a significant portion of their workforce with AI, powered by their own patented models, to improve efficiency and patient care.
- What is the company culture like at Sully.ai?
- Sully.ai values speed, urgency, autonomy, and ownership. They foster a culture where A-players, including many ex-founders, work on cutting-edge AI and medicine problems.