Full Stack Engineer (AI)

Full Stack Engineer (AI)

Company details

Description of the offer

emote, with preference for Europe, USA (non-PST), LATAM, or Tel Aviv
Must overlap with EST by at least 5 hours

We’re hiring three full-stack engineers to help build a flagship AI product alongside the CEO and a small group of senior AI leaders. If you enjoy owning architecture, shipping fast, and working close to real users, this is the kind of role that lets you move with impact.

What you’ll build
• End-to-end systems for an AI financial agent
• Scalable APIs and backend services to support real-time agent workflows
• High-performance interfaces that visualize reasoning, surface insights, and enable live interaction
• Integrations between AI research work and production systems
• Data pipelines that connect to financial sources
• Monitoring, testing, and performance tooling for reliability at scale
• Continuous improvements to the underlying LLM, tooling, and infra stack

What you bring
• 5+ years of full-stack engineering experience
• Strong command of Python (FastAPI), JavaScript/TypeScript, Node.js, and React
• Proven track record building scalable APIs and production web apps
• Experience working with relational and NoSQL databases
• Hands-on experience with LLMs and frameworks like LangChain or similar
• Familiarity with vector databases, RAG pipelines, async systems, and real-time data flows
• Experience with financial data or APIs
• Comfortable in fast-moving, self-directed environments
• Ability to collaborate across AI research and product engineering
• Ability to work from NYC office is a plus

Bonus points
• Experience building LLM-based agents used by real customers
• Experience with prompt engineering and tool orchestration
• Background in semantic search, embeddings, or RAG architectures
• Performance tuning, profiling, and API optimization
• Familiarity with smart contracts or DeFi

Who thrives here
• Engineers who grew from web dev → specialist (front or back) → full stack → senior full stack
• Builders who enjoy infra decisions, architecture, and end-to-end ownership
• People who have shipped AI features in production, not just prototypes

Interview process
1. Recruiter call
2. Hiring manager interview
3. Take-home assignment (build a working AI agent)
4. Technical interview
5. One-week paid work trial (varies by region)
6. Final conversation with CEO

Location of employment

How to apply?