AI Process Engineer

🚀 What We Do

 

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.

Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.

Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.

Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.

Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

Amazon Web Services
Astronomer
Databricks

🌟 Our Values

📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset
 
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

Co-facilitate diagnostic workshops (Mini-H) with prospective clients alongside the CEO: map processes, build impact baselines, produce AS-IS and TO-BE flow diagrams.
Lead the AS-IS process mapping block of each workshop — steps, owners, systems, handoffs, failure points.
Build the business case (baseline + TO-BE agentized) that underpins every VAP proposal.
Qualify leads between the initial meeting and the workshop: confirm problem, interlocutor authority, and willingness to act.
Run the Hypothesis phase of each VAP: map financial and operational opportunity drivers, score by impact × feasibility × speed, select the first deployment target.
Document client processes with engineering-level precision: inputs, outputs, owners, systems, data flows, exception handling.
Design the AI agent blueprint for each VAP: what the agent does, what data it needs, how it integrates, what the human touchpoints are.
Manage delivery cadence: daily standups, weekly deep-dives, biweekly steering sessions.
Build and maintain standard templates for Mini-H facilitation, AS-IS mapping, and VAP scoping.

Required Skills 💻

3–5 years in process consulting, operations, business analysis, or digital transformation with direct client exposure.
Demonstrated ability to map complex operational processes and turn them into structured technical documentation.
Experience facilitating workshops or structured interviews with senior stakeholders (managers, directors, C-suite).
Fluent in Spanish and English — clients operate in both languages.
Genuine, daily use of AI tools (LLMs, generative AI, AI-assisted workflows) — not casual, integrated into how you produce work.
Comfortable in ambiguous, early-stage environments where the process is built while executing it.

🌟 Strongly Valued

Hands-on experience with process automation: RPA, Make, Zapier, n8n, API integrations, no-code/low-code tools.
Practical understanding of how AI agents work: what they can and can't do, how they integrate into business workflows.
Experience with enterprise data systems: ERP (SAP, Oracle, Dynamics), CRM (Salesforce, HubSpot), WMS.
Cloud platform knowledge (AWS, Azure, or GCP) — meaningful asset given our tech stack.
Databricks familiarity — direct advantage given our Silver Partnership.
Industry experience in retail, distribution, logistics, finance, or manufacturing.
Basic Python or SQL — you don't need to be an engineer, but being able to read a query expands what you can do independently.

🎁 Perks

Remote-first culture – work from anywhere! 🌍
AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
In-Company English Lessons.
Birthday off + an extra vacation week (Mutt Week! 🏖️)
Referral bonuses – help us grow the team & get rewarded!
Maslow: Monthly credits to spend in our benefits marketplace.
✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!