Senior Full-Stack Engineer (AI-Focused)
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Posted within 60 days ·
- Work arrangement
- remote
- Employment
- FullTime
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
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Requirements
3 with evidence6 unclear or unstated- Remote policy
- remote
“Provider workplace type: remote”
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- AR
“Provider location: Argentina”
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- Time Zone: Strong overlap with US working hours required
“Time Zone: Strong overlap with US working hours required”
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- FullTime
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Original job description
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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.
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