Skip to content
Latamcent

Senior Full-Stack Engineer (AI-Focused)

ArgentinaRemote · Argentina
Senior · FullTime · Engineering & Artificial Intelligence
POSTED 9 NOVVERIFIED 4H AGO
Apply Ask
Role
0 days opentrue age
Posted 9 Nov
Payin text
$84k–100kposted
Posted by the employer
CompanyLatamcent →
10open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
1,185open · Senior Full-stack
Opened · 7d
+716% of open
All full-stack
3,303open
All tracked boards · live 10 Nov · n=1,185
TypeScriptJavaScriptPythonLLMs

The Opportunity

An established SaaS product is rebuilding itself around AI, and this hire sits at the center of that shift, working side by side with the CTO. You'll put at least one AI feature in customers' hands within your first 90 days, and within a year your work should show up in adoption and retention numbers. Small team, real autonomy, and a product that already reaches millions of people.

What You'll Own

AI features from interface to model call: UI, services, APIs, and the LLM layer underneath

The in product AI agent, making it genuinely useful to customers, from prompt design through production evals

LLM pipelines that hold up under real traffic: RAG, tool calling, agent orchestration, and evaluation

MCP integrations that let customers work with the platform straight from their own AI tools

Speed, reliability and cost of every AI feature, with metrics that tie latency and quality to customer value

The AI first roadmap and architecture, shaped together with the CTO and product

How the team builds with coding agents: workflows, guardrails, and review norms others adopt

What We're Looking For

6+ years as a full stack engineer on production SaaS

Strong TypeScript or JavaScript on both frontend and backend, including a modern frontend framework

Solid Elixir and Python

LLM features shipped to production: model APIs, RAG, tool calling or agents

A track record of measuring LLM output quality, through evals or similar systems

Working knowledge of WebSocket traffic at high volume and how it shapes architecture

Daily use of AI coding agents, with clear judgment on where human review and guardrails belong

C1 or C2 English, comfortable going deep with engineers and presenting tradeoffs to leadership

Nice to Have

Built an MCP server, connector, or other agent tooling

Shipped an embedded JavaScript SDK or in app product experience

Hands on with LLM tracing and observability tools

Background in onboarding, product adoption, or PLG products

Tools and Stack

TypeScript / JavaScript · Elixir · Python · WebSockets · LLM APIs · RAG · MCP · Claude Code

Details

Location: Remote, Argentina

Time Zone: Strong overlap with US working hours required

Salary: $84,000 - $100,000 usd yearly

Type: Full time

About the Company

An established B2B SaaS platform that helps software companies onboard users and drive adoption through in app experiences. AI now sits at the core of its product strategy, and it reaches millions of end users across the US and Europe through its customers' applications.

Source · LatamcentFirst seen 9 NovOriginal ↗