Remote Fullstack Engineer — Agentic Platform

Alan; United States; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Generous equity

Flexible office or remote work

Top-tier equipment

Flexible vacation policy

Healthcare insurance

Parental leave

Learning & Training opportunities

Coaching culture

Job summary

Alan is hiring across France, Spain, Belgium and Canada, now expanding to the United States. We’re building a unified prevention-insurance platform with AI-powered agents and maintenance of scalable runtimes.

You’ll join an engineering team focused on secure, efficient, and measurable impact across product lines. As part of a cross-functional team, you’ll design, implement, and operate agent-based systems while collaborating with product engineers and data teams to deliver high-quality, reliable

Qualifications

• 3+ years in software engineering with backend focus.
• Experience with LLM APIs, agent frameworks, evals or MCP is a strong plus.
• Understand adoption metrics and user/developer experience.
• Proven ability to ship scalable backend systems and maintainable code.

Responsibilities

• Own end-to-end problems from design to production with architecture influence.
• Ensure reliability, cost efficiency, and security in production.
• Collaborate with engineers, product teams, and ops to deliver value.
• Mentor peers and contribute to engineering culture.

Skills

Backend fundamentals

Distributed systems

LLM APIs

Agent frameworks

Security & authorization

Product UX

English fluency

Adoption-focused metrics

Cost and performance tradeoffs

Tools

GitHub

Slack

Linear

MCP gateway

Job description

Alan is hiring across France, Spain, Belgium and Canada, now expanding to the United States. We’re building a unified prevention-insurance platform with AI-powered agents and maintenance of scalable runtimes.

You’ll join an engineering team focused on secure, efficient, and measurable impact across product lines. As part of a cross-functional team, you’ll design, implement, and operate agent-based systems while collaborating with product engineers and data teams to deliver high-quality, reliable