Product AI Engineer

Location: LATAM

Employment Type: Full-time

Compensation: Up to USD $8,500/month

About the company

We’re partnering with an early-stage company preparing to launch a product with AI embedded into the user experience. As the company works toward product-market fit, it is growing its AI capabilities and looking for an engineer who can turn evolving ideas into features that solve real customer problems.

About the role

You’ll work closely with Product, Engineering, and the existing AI Engineer to build and deliver AI-powered product features.

This is a hands-on role with ownership from experimentation through production. You’ll contribute to technical decisions, help establish practices within a developing AI function, and improve features based on customer feedback and measured performance.

What you’ll do

• Partner with Product and Engineering to identify and prioritize opportunities for AI within the product.
• Prototype, build, and integrate AI capabilities into customer-facing workflows.
• Develop backend services, APIs, integrations, and data workflows that support AI features.
• Evaluate models and technical approaches, balancing output quality, reliability, latency, and cost.
• Contribute to shared practices for AI evaluation, testing, and production monitoring.
• Improve features based on customer feedback, usage, and performance.
• Make pragmatic architecture decisions that support fast experimentation and future growth.
• Own delivery, documentation, troubleshooting, and ongoing maintenance.

Must have

• Early-stage startup experience: experience helping launch a product and iterating toward product-market fit as customer needs and requirements evolved.
• Production AI experience: experience shipping AI or machine learning capabilities into a customer-facing product, with clear examples of your contribution and results.
• Strong software engineering skills: hands-on Python experience and the ability to build backend services, APIs, and integrations.
• AI evaluation experience: ability to assess and improve output quality, reliability, latency, and cost.
• Experience working with data: ability to prepare, validate, and connect the data needed to support AI features.
• End-to-end delivery: experience taking features from prototype through deployment, monitoring, and maintenance.

Nice to have

• Experience building LLM-powered product features.
• Experience with retrieval-augmented generation, embeddings, semantic search, or AI agents.
• Experience comparing model providers or adapting existing models to specific use cases.
• Experience creating evaluation datasets and feedback loops for AI features.
• Familiarity with SQL, PostgreSQL, Snowflake, dbt, or Airflow.
• Experience with cloud deployment, CI/CD, and production observability.
• Experience contributing to AI architecture or technical direction within a small engineering team.

Soft skills

• Product judgment: translate user problems into practical solutions and prioritize work based on customer value.
• Ownership: drive work independently, follow through on delivery, and take responsibility for outcomes.
• Adaptability: navigate evolving requirements and adjust direction as the team learns.
• Collaboration: work closely with Product and Engineering, share knowledge, and contribute to shared technical practices.
• Clear communication: explain technical decisions, limitations, and tradeoffs to different audiences.
• Pragmatism: balance experimentation speed with the engineering needed for reliable production features.

Why join?

• Help shape a product as it launches and finds its market.
• Join a developing AI function and contribute to its technical practices.
• Own AI features from initial experimentation through customer adoption.
• Influence technical decisions and product direction.
• Work closely with a team building, testing, and learning together.