Junior AI Automation Engineer (CEO Office)

Spendbase; United States; Remoto; USD 60.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

Direct work with the CEO

AI playground with tools and tokens

Rapid growth to AI engineer

Descrizione del lavoro

Spendbase, a fast-growing fintech startup, is seeking a junior, hands-on AI enthusiast to build, run and improve a team of AI agents that support the CEO's day-to-day work. You\'ll design workflows, connect tools, monitor performance, and fix issues to save hours.

You\'ll work directly with the CEO, own end-to-end automation projects, and get budget for tools and tokens to experiment with Claude, LangChain, and n8n.

Competenze

• 0-2 years experience in tech, automation, analytics, support or operations.
• Used AI daily and built real AI automation; share a link, demo or short description.

Mansioni

• Build and maintain AI agents and automations for the CEO's daily work (Claude, Claude Code, MCP connectors, n8n or similar).
• Orchestrate multiple agents and tools into reliable workflows: calendar, email, travel planning, research, meeting prep, reporting.
• Monitor agent output, catch errors and hallucinations, and keep improving prompts, flows and guardrails.
• Find manual and repetitive tasks across the CEO's day and turn them into automations.
• Test new AI tools and models, and recommend what is worth adopting.
• Document every workflow so it can be reused and handed over.
• Handle the rare tasks that still need a human and then automate next time.

Conoscenze

AI mindset

Systems thinking

Ownership

English proficiency

Strumenti

Claude Code

MCP connectors

n8n

LangChain

APIs & webhooks

Descrizione del lavoro

remote

Spendbase is a fast-growing fintech startup building tools that help companies stop wasting money on SaaS, understand their cloud costs, and control payments. We work with businesses globally and are scaling fast: new products, new markets, new challenges every week.

We're looking for a junior,hands-on AI enthusiast to build, run and improve a team of AI agents that take work off the CEO's plate: scheduling, travel, research, briefs, follow-ups and more. You won't just prompt a chatbot. You'll design workflows, connect tools, watch what the agents do, and fix them when they break.

You'll work directly with the CEO, with real ownership and a fast feedback loop. Every agent you build is measured by one thing: the hours it saves.

What you'll do:

• Build and maintain AI agents and automations for the CEO's daily work (Claude, Claude Code, MCP connectors, n8n or similar)
• Orchestrate multiple agents and tools into reliable workflows: calendar, email, travel planning, research, meeting prep, reporting
• Monitor agent output, catch errors and hallucinations, and keep improving prompts, flows and guardrails
• Find manual and repetitive tasks across the CEO's day and turn them into automations
• Test new AI tools and models, and recommend what is worth adopting
• Document every workflow so it can be reused and handed over
• Handle the rare tasks that still need a human (a tricky booking, a vendor call) and then ask: how do we automate this next time?

What we're looking for:

• 0-2 years of experience in tech, automation, analytics, support or operations. Strong self-taught or pet-project experience counts as much as a job
• You use AI daily and have built something real with it: a bot, an agent, an automated workflow. Send us a link, demo or short description.
• Hands-on experience with Claude Code and MCP connectors
• Experience building agents with LangChain or similar frameworks (LlamaIndex, CrewAI, n8n agents, etc.)
• Experience with API integrations and webhooks
• Systems thinking: you break a messy process into steps and spot where it will fail
• High ownership and reliability: you check that it actually works
• Discretion: you'll handle confidential data
• English B2 or higher, written and spoken
• Comfortable with a dynamic schedule and fast-changing priorities

What we offer:

• Direct work with the CEO and a front-row seat to high-level decisions
• A real AI playground: you decide how we use it, with budget for tools and tokens
• Fast growth from trainee to AI engineer, with a lot of learning on real tasks