---
title: 'Principal Engineer & Architect - AI Agent Plaform at DevSavant Inc.'
canonical: 'https://feeny.ai/job/principal-engineer-architect-ai-agent-plaform-devsavant-inc-latin-america-ctzf3b0q0gh4'
type: 'job'
last_seen: '2026-11-01'
---

# Principal Engineer & Architect - AI Agent Plaform at DevSavant Inc.

- **Company:** DevSavant Inc.
- **Location:** Latin America
- **Employment:** full-time
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-11-01
- **Apply:** https://jobs.ashbyhq.com/devsavant/b97c8453-0042-46d6-8988-1c2a970671b5

## Job description

## About DevSavant

DevSavant builds and operates managed AI agents / AI coworkers that run real business workflows in production for SaaS companies. We are turning that service into a scalable product: connecting client systems, normalizing their data, and running agent-driven workflows with human approval, dashboards, and full auditability.

## Role Overview

You will be the senior-most engineer on the platform and its technical architect. You will design the integrations, data layers, APIs, infrastructure, security model, and the AI agents themselves. You present those designs to the Director of Engineering for sign-off, and then own building and shipping them alongside a distributed team of senior engineers. How authority works here: you architect and propose, the Director of Engineering signs off on the direction, and you own execution, technical standards, and team direction from there. This is a hands-on architectural and technical leadership role. You will be writing code on the hard parts of the system, not managing HR functions or line-by-line supervision. You will start by owning the architecture for the core platform (Managed AI Agents). As we expand into new business modules (Company Brain), you will take ownership of their technical architecture too, stepping in across projects to guide distributed engineering teams based on business priorities.

## Responsibilities

- Whole-Platform Architecture: Design how client systems connect, how data is normalized and stored, how information is served to dashboards and AI agents, and how new client tools get integrated efficiently. You will be hands-on, building the primary framework skeletons yourself.
- Production AI Agent Systems: Handle agent design, tool usage, guardrails, evaluations, and monitoring for agents executing business workflows with human oversight.
- Cloud & Infrastructure Direction: Lead deployment architecture, CI/CD, observability, and cost management. The platform runs on containerized infrastructure today; deciding where the runtime should live long-term is one of your first major projects.
- Security & Multi-Tenant Architecture: Own tenant isolation, secrets management, least-privilege access, and audit trails for a platform handling financial data. You define the standards, and the team implements them.
- Technical Leadership: Set code standards, conduct reviews, and guide a distributed bench of senior engineers through clear written specifications.
- Client Engagement: Serve as the technical point of contact with clients and design partners when complex architectural discussions require it.

## Requirements

- 8+ years of production software experience, including recent hands-on ownership of a major system's architecture.
- Modern Tech Stack Expertise: Deep experience in TypeScript and Node.js ecosystems, modern frontends (React, Remix / React Router v8, Tailwind, ShadCN), relational ORMs (Drizzle), validation tools (Zod), databases (PostgreSQL, Redis), and queueing systems (PgBoss).
- Production LLM Agent Systems: Proven track record shipping and operating real LLM agent systems, not just prototypes. You have built guardrails, evaluated agents prior to launch, monitored them in production, and handled agent-specific failure modes like loops, silent stalls, context drift, and tool misuse.
- RAG & Engineering Depth: Deep understanding of RAG pipelines, chunking strategies, and vector data workflows.
- Production Infrastructure Ownership: Experience managing uptime, running CI/CD, setting up observability, and handling production incidents end to end.
- Cloud Architecture (AWS or GCP): Proven experience making and defending decisions around platform hosting and runtimes.
- Production API Integrations: Experience with complex third-party API environments involving webhooks, incremental polling, idempotency, retries, data
- normalization, and data reconciliation.
- Data Modeling: Strong experience with relational and event-driven data designs where data accuracy is the priority.
- Multi-Tenant SaaS Security: Practical experience with tenant isolation, secrets hygiene, least-privilege access control, and audit logs.
- Written-First Leadership: Ability to write clear, complete technical specifications that allow remote engineering teams to execute high-quality work asynchronously.
- Communication: Excellent written and spoken English and Spanish.

Nice-to-haves

- Official AWS or GCP Cloud Architect certifications.
- Experience with agent frameworks beyond single-vendor stacks (such as OpenClaw, MCP, or A2A).
- Experience with Infrastructure as Code and observability tools like Prometheus or Grafana.
- Background in graph databases and knowledge graphs.
- Early-stage startup experience building new product lines from 0→1.

## About DevSavant Inc.

## Company Overview
- **One-liner**: DevSavant is a nearshore talent and product engineering partner that connects top LATAM and Asian professionals with US-based B2B tech and AI companies, helping startups turn ideas into revenue-driving software.
- **Entity Type**: Private (privately held; backed by relationships with Savant Growth and Kennet Partners)
- **Headquarters**: San Mateo, California, United States (with additional offices in Medellín, Colombia)
- **Founded**: 2020 (some sources mention 2021 as the formal launch year)
- **Founders**: Daniel Peña (CEO), Javier Rojas, Erik Filipek

## Core Business
- **Primary industry**: Software Development / IT Services and IT Consulting
- **Target customers**: US-based B2B tech and AI companies at any stage (early-stage startups to Series B and companies exceeding $300M ARR), as well as VC, PE, and growth equity portfolio firms.
- **Mission**: "Turn ambition into execution, and help every company move confidently toward its next milestone." [devsavant.com/about-devsavant](https://devsavant.com/about-devsavant/)

## Products & Services
- **Global Staffing (Staff Augmentation)**: Provides fully vetted Mid-Level and Senior Engineers, QA, AI, Data, Project Managers, and support professionals from LATAM and Asia who embed seamlessly into client teams.
- **Product Engineering**: Consulting-led discovery combined with AI-first engineering to deliver rapid prototypes, MVPs, and scalable products—from concept to production.
- **AI Integration**: Custom AI solutions including automation, copilots, custom models, LLM integrations, and workflow enhancements.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: ~76–93 employees (LinkedIn reports 76 with 11.9% YoY growth; Built In SF reports 93). Revenue not disclosed.
- **Notable Investors/Partners**: Works closely with Savant Growth and Kennet Partners, as well as a network of VC, PE, and growth equity firms.
- **Growth Signals**: Expanded to serve Series A clients in 2022; operates across 15 countries (primarily Colombia, Argentina, Brazil, Mexico); headcount grew ~12% year-over-year; active job postings (10 open positions as of mid-2025).

## Competitive Advantages
- Access to high-quality, pre-vetted talent from LATAM and Asia at significantly lower costs than US-based alternatives.
- Proprietary "Wow Profiles" vetting method that identifies growth-minded professionals suited for fast-moving tech environments.
- Deep domain expertise in B2B SaaS and AI markets, built over 7+ years inside the VC/investment ecosystem.
- Rapid deployment: first candidates presented within 2 weeks; full integration into client workflows, standups, and tooling.
- Flexible engagement: scale teams up or down with transparent costs and no long-term lock-ins.

## Strategic Focus
- Strengthening its AI-first engineering capability to accelerate product delivery and reduce risk for clients.
- Expanding its nearshore talent pipeline across LATAM and Asia, particularly for high-demand roles (Data Science, Python, Web SDE, etc.).
- Deepening partnerships with venture capital and private equity firms to become the default talent partner for their portfolio companies.

## Why Work Here
- **Work model**: Hybrid/on-site presence in San Mateo and Medellín; other roles are remote within LATAM. Built In SF notes "Employees work from physical offices" but typical time on-site is listed as "None", suggesting flexibility. [builtinsf.com/company/devsavant](https://www.builtinsf.com/company/devsavant)
- **Culture**: Described as innovative, agile, evolving, and valuing harmony and respect. Engineers embed directly into client teams, gaining exposure to cutting-edge B2B SaaS and AI products.
- **Growth opportunities**: Access to US tech company clients, exposure to venture-backed ecosystems, and roles across engineering, AI, product, and customer success.
- **Perks**: Not explicitly listed, but competitive compensation for LATAM talent, clear career progression paths, and the chance to work on high-impact projects from early-stage MVPs to enterprise-scale platforms.

## Sources
1. [devsavant.com](https://devsavant.com/)
2. [devsavant.com/about-devsavant](https://devsavant.com/about-devsavant/)
3. [linkedin.com/company/devsavant](https://www.linkedin.com/company/devsavant)
4. [builtinsf.com/company/devsavant](https://www.builtinsf.com/company/devsavant)
5. [jobs.ashbyhq.com/devsavant](https://jobs.ashbyhq.com/devsavant)

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