Senior Ai Engineer

Senior AI Engineer ????

Join to apply for the Senior AI Engineer role at

The Mobile-First Company

Be among the first 25 applicants; 2 months ago this role was posted.

About The Mobile-First Company

Most tools for small businesses weren't built for real operators.

They were built for employees in offices, not people running a business from their phone.

We're changing that.

We build

mobile-first business software

that feels like a consumer app, runs on AI, and spreads like a creator brand.

Our first product, Allô, gives you a second number on your phone, answers missed calls with AI, transcribes everything, and syncs it to your CRM.

Over 20,000 businesses use it every day.

Next up: expenses, invoicing, and more.

We've raised

+15 million dolars

from Base10, Lightspeed, EMBLEM, and 30+ top operators.

Our team is based in

Paris, Buenos Aires, Miami

Drive the evolution of our backend technology, infrastructure, and AI capabilities to ensure high performance, scalability, and seamless integration for our mobile applications.

What will you do

Work side by side with our CTO to build the foundations, the present, and the future of our AI capabilities.

Design and implement systems powered by LLMs that translate directly into user value.

Integrate these AI services with our current backend infrastructure.

Instrument, observe, and optimize AI systems with robust evaluation frameworks.

What you'll be working on

Implementing and maintaining scalable and reliable AI systems using languages like Python, Kotlin, JS or similar.

Prompt engineering, vector embeddings and evaluation tools.

Data modeling and management to optimize the performance and intelligence of our apps.

Working directly with Cloud services (e.g., AWS, Supabase, Cloudflare).

We're looking for

Backend AI Engineering

Proficiency in backend development with expertise in languages like Python, Kotlin, JS or similar.

Proven delivery of LLM features with LangChain or similar (prompt design, RAG, caching, fine-tuning).

Strong system design, performance tuning, and data-modeling skills.

Systems Architecture

Expertise in designing scalable and maintainable backend architectures, understanding when to apply different architectural patterns.

Ability to instrument, monitor, and troubleshoot AI workloads end-to-end.

Performance And Data

You know how to build scalable and maintainable code.

You care about what to measure and how it impacts business and users.

You track behavior, usage, and performance, and improve based on it.

How You Think

You care about why we build things, not just how.

You ask smart questions, challenge ideas when needed, and help shape what's next.

You think in terms of user value and business impact.

How You Work

You communicate clearly, give feedback with no ego, and help others grow.

You move fast, take ownership, and thrive in ambiguity.

You're comfortable working in English — and in a small team with big goals.

What matters to us

You've worked in product companies.

Proven delivery and great understanding of LLM features in production.

4+ years of experience designing and building high-performance systems used by millions.

You're proactive, autonomous, and know how to fill the gaps.

You can communicate in English, since that's our official language.

Most of the team also speaks Spanish and French.

What we offer

Competitive salary (in USD or local equivalent)

Equity package

10-day team retreats abroad every quarter

30-day onboarding in Paris (we cover flights and housing)

Laptop and work setup of your choice

Private health insurance (for US or LATAM hires)

A tight, ambitious team building something real — fast

How to Apply

Click the

Apply

button on this page to send your application.

No cover letter needed; just tell us who you are and why this role fits you.

If you're not the perfect match but want to join us, send a spontaneous application to

We welcome people from all backgrounds.

If you're part of an underrepresented group in tech, we especially want to hear from you.

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