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Able
Legal & HR 1h ago

Technical Recruiter (AI, ML & Engineering) - Remote (Latin America)

Able
United StatesUnited States
Full-time
Not Disclosed
Mid-Level
VT

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Job Description

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Back in 2012, we were a group of engineers and designers who decided we wanted to build things, so we did. Able started as an engineering and product hub building for a portfolio of early-stage startups. We built many relationships while developing products that were thoughtful, effective, and genuinely useful. But since then, we’ve grown—and so has our ambition.

Now, we’re entering our next chapter, defined by applied AI. AI is a powerful force in the end-to-end software development cycle, and we’re creating practices that allow us to deliver software fast and more effectively than traditional approaches, creating meaningful value for our partners. Today, our builder mindset is driving us to become an AI-native organization across every function. We’re still evolving, and that’s part of the opportunity. If you want to build, learn, and tackle challenges alongside an ambitious team, let’s build together.

This position is 100% remote in Latin America.

About the Role

As our Technical Recruiter, you’ll specialize in AI, ML, and engineering recruitment and own hiring from intake to offer. That includes our hardest searches, Senior and Principal AI Engineers, plus our regular full-stack, front-end, and back-end roles. You’ll know the AI engineering market well enough to tell a mid-level from a senior, from a principal before they reach our interview team. You’ll also use AI tools to source and run searches better than a manual process can.

What We’re Looking For

Day-to-Day Responsibilities

  • Specialize in AI, ML, and engineering recruitment: own full-cycle hiring for AI and ML Engineers (Senior and Principal) and for full-stack, front-end, and back-end engineers. That covers intake, sourcing, screening, scheduling, feedback, debriefs, and offers.
  • Design and execute recruitment strategies: build a search plan for each role, covering target profiles, channels, messaging, and timelines. Adjust it when the market says otherwise.
  • Find principal-level AI talent: build pipelines for Senior and Principal AI Engineers beyond LinkedIn. Look in GitHub, open-source projects, research papers, technical communities, and referrals.
  • Level candidates accurately: screen against senior-vs-principal so the interview team only meets candidates at the right level.
  • Use AI tools to improve search: use AI tools and LLM assistants for market mapping, search strings, candidate research, and outreach.
  • Turn recruiting data into insights: track time-to-fill, pass-through rates, sources, and decline reasons in Greenhouse. Use them to show where searches stall and what to change.
  • Optimize hiring processes: tighten intake, scorecards, scheduling, and candidate communication. Document playbooks and interview plans so searches run the same way every time.

Required Skills & Experience

  • 5+ years of technical recruiting, with full-cycle ownership of engineering searches.
  • Recent experience hiring AI or ML engineers at Senior level or above, and you can explain how a Principal differs from a Senior.
  • Enough technical fluency to discuss LLM applications, RAG, evaluation, fine-tuning, and MLOps with engineers, and to probe their claims.
  • Hands-on, daily use of AI tools in your recruiting work, with examples of what changed because of them.
  • A track record of sourcing passive senior candidates through channels other than LinkedIn.
  • Fluent written and spoken English. You’ll work with engineers and leaders across many countries.
  • A data-driven approach: you use funnel metrics to make decisions and explain them to hiring managers. Comfortable with Greenhouse or a similar ATS.
  • Experience designing recruitment strategies and improving hiring processes, not only running them, in a small team where processes are still being built.

Nice to Have

  • Experience recruiting for consulting firms or agencies with client-driven hiring
  • Experience hiring across multiple LATAM countries and the US
  • Spanish or Portuguese
  • Experience with Juicebox AI or similar AI sourcing tools

What Success Looks Like

We’re looking for someone who brings more than technical skills. The right person for this role is:

  • AI-fluent. You already use AI tools in your day-to-day work to analyze information, automate repetitive tasks, draft materials, and work more efficiently.
  • A builder. You’re comfortable creating processes and systems where there isn’t a playbook yet. You’d rather ship a useful first version and improve it than wait for perfection.
  • A clear communicator. You surface problems early, ask questions when something is unclear, and communicate what you know—and what you don’t.
  • Comfortable with ambiguity. Able is growing and evolving quickly. You’ll help shape the processes and systems you’ll eventually own.

Able is powered by curious, thoughtful people who care about what they build and how they build it. We’re actively investing in our team through AI training, knowledge-sharing, and hands-on experimentation to ensure everyone grows alongside the technology.

This position is 100% remote in Latin America. Strong verbal and written communication skills in English are a requirement.

As a team member, you can expect:

  • To work 40 hours per week, and be available during normal business hours as needed
  • Payments made in USD
  • 18 days of PTO per year, observance of local holidays, and an annual break between Christmas and New Years
  • Wellness + Remote Stipend
  • AI Voucher

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Able (operating at able.co) is a technology development platform engineered for entrepreneurs, startups, and philanthropic organizations seeking to accelerate innovation without the overhead of traditional software teams. Founded in 2013 and headquartered in New York City, Able disrupts the fragmented model of outsourcing software development by combining human expertise with AI-driven workflows. Under the hood, the platform leverages a hybrid approach—pairing specialized strategists, designers, engineers, and project managers with proprietary AI tools—to streamline collaboration, reduce development cycles, and enhance output quality. This allows clients to scale projects efficiently while maintaining cost-effectiveness, eliminating the need for in-house hiring or piecemeal vendor management. Backed by a total of $10.5 million in funding across two rounds, including a Series B, Able positions itself as a strategic partner for organizations prioritizing agility and innovation in their tech initiatives.

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