Company name will be shared upon confirmed interview

Forward Deployed AI Engineer for a Private Equity Platform Powering the Future of Wellness

Aventura, Florida, United States (REMOTE)

A middle-market private equity firm focused on investing in and growing lower-middle-market health, wellness, and better-for-you consumer brands. Founded by experienced entrepreneurs and operators, the firm takes a hands-on approach, combining investment expertise with operational support to help portfolio companies achieve sustainable, profitable growth.

Salary up to:US$6,000

Timezone: GMT-5

Industries: Venture Capital and Private Equity Principals

Website:sensitive

This is a forward deployed AI Engineer role sitting within a newly formed, dedicated AI team. You'll work directly with our client's portfolio companies — to assess, design, build, and hand off high-impact AI solutions at pace.

The model is deliberately lean. You'll work as part of a small, highly specialized pod alongside an AI Product Manager. Together, you are the team. You'll be embedded within portfolio companies with full credentials, access, and credibility.

The goal is not to embed indefinitely. It's to get a portfolio company to the point of scaling an AI opportunity and then hand it off — including helping them hire and build their own capability.

Tech Stack

PPython

Agile Methods

Snowflake

CI/CD

Machine Learning

AI Agents

MLOps

GenAI – Generative AI

LangChain

LangGraph

3+ years in machine learning / AI engineering roles (ML Engineer, AI Engineer, or Forward Deployed Engineer)

Hands-on machine learning experience (1+ years), including training, fine-tuning, and evaluating models, with solid ML fundamentals.

Meaningful, hands-on experience shipping production AI/ML systems — not just prototypes — including generative AI or agentic AI.

Strong Python skills and solid fluency in agentic tooling (e.g., Claude Code, Cursor, Codex, GitHub Copilot) and agentic architecture patterns.

Strong grasp of modern GenAI patterns: RAG, embeddings, vector search, tool/function calling, structured outputs.

Hands-on experience with at least one AI engineering framework (LangChain, LangGraph, LlamaIndex, or a comparable custom implementation).

Working experience with at least one cloud AI/ML platform and enterprise data ecosystem (e.g., Bedrock, Azure AI Foundry, or Vertex AI; Snowflake, Databricks, or vector databases).

Sound judgment on architecture tradeoffs, with the ability to explain them plainly to technical and non-technical stakeholders.

Comfortable engaging with both executives and frontline users.

Every job requires English proficiency, being based in LATAM.

Bonus Skills

Experience setting LLMOps/MLOps standards (versioning, CI/CD, containerization, cost/performance optimization).

Experience on Agile/Scrum teams and on large, complex systems.

Interview process

Time to hire:10-14 days

BEON.TECH ASSESSMENT STAGE

Initial Interview

30 min

Technical Interview

1 hr

THE CLIENT STAGE

Initial Interview

1 hr

Technical Interview

1 hr

Final interview

30 min

We are committed to provide equal opportunities

BEON.tech connects the brightest Latin American talent with the most innovative and disruptive U.S. companies. You'll get access to a custom vetted pool of full-time, remote software jobs with compensation comparable to U.S.-based positions. To join BEON.tech is to be in a devs-first company, which means you are the priority when it comes to decision-making, client selection, and growth planning. Develop your career at the pace you deserve.

Trip to Headquarters in Buenos Aires

A US$ 1,000 welcome package to get you started with the right gear

USD compensation comparable to U.S.-based positions

English conversation club & workshops

Health insurance

Psychotherapy sessions

Flexible payments in crypto, wire transfer, Wise, PayPal, or Payoneer

Unlimited reskilling in Udemy, Education IT & O'Reilly

Internet service

AI Tools & Learning Program

Co-working spaces

Paid time off

Participate in weekly challenges and win quarterly prizes.Top performers earn US$750 (1st place) and US$350 (2nd place).

In this role, you'll be expected to take ownership of the following responsibilities as part of your day-to-day work:

Assess AI feasibility during diligence, and set technical direction for the systems that follow — data products, retrieval pipelines, model orchestration, agentic workflows, evaluation, deployment, and monitoring.

Design and build LLM workflows, retrieval systems, and agentic applications directly against a portco's real enterprise data and infrastructure.

Define secure, scalable reference architectures appropriate to each portco's environment, across major cloud and AI platform services as needed.

Establish evaluation and observability standards for what you build — test sets, automated evals, tracing, quality scoring, latency/cost monitoring, and regression testing — so handoff teams can trust and maintain it.

Build in human-in-the-loop controls and sound data/security practices by default, even where a formal governance function doesn't yet exist at the portco.

Develop working prototypes that can evolve into production systems, and transfer that knowledge directly to portfolio company technical teams to support handoff and their own hiring.

Evaluate emerging models, frameworks, and tools, and bring back a practical point of view on what's worth adopting versus what's prototype-only.

Key details to catch your eye

$1.1B+ invested in health & wellness across a growing portfolio of consumer brands.

Founded and run by former health & wellness entrepreneurs and operators.

Invests in companies with $15M–$100M in revenue through buyouts and select growth equity.

Portfolio brands sell through direct-to-consumer e-commerce, Amazon, and national retail.

Certified diverse-owned firm (NAIC) and committed to the Principles for Responsible Investment (PRI).

Highlights

Hands-on approach: works side by side with each brand's team on day-to-day execution, not just as an investor.

A newly formed, dedicated AI team led by a VP of AI with prior AI leadership roles at Royal Caribbean and Boston Consulting Group (BCG).

Strong top-down AI mandate backed by the firm's own investors, with use cases mapped across marketing, e-commerce, supply chain, and regulatory claims — each weighed as build vs. buy.

Culture

Operator mindset: the team is made up of former founders and operators who speak the language of entrepreneurs and stay close to execution.

Purpose-driven: the focus is on brands that help consumers lead healthier, more active lives.

Community-minded: actively contributes to organizations like World Central Kitchen and industry groups such as ACG and Nutrition Capital Network.

Forward Deployed AI Engineer for a Private Equity Platform Powering the Future of Wellness - BEON.tech

Company name will be shared upon confirmed interview

Forward Deployed AI Engineer for a Private Equity Platform Powering the Future of Wellness

Aventura, Florida, United States (REMOTE)

Salary up to:US$6,000

Timezone: GMT-5

Industries: Venture Capital and Private Equity Principals

Website:sensitive

The goal is not to embed indefinitely. It's to get a portfolio company to the point of scaling an AI opportunity and then hand it off — including helping them hire and build their own capability.