Full Stack AI Engineer

Role Summary

We are seeking a Full Stack AI Engineer to join a fast-growing SaaS company building AI-native products. The role will accelerate AI feature delivery, contribute to agentic workflow architecture, and support a company-wide rebrand implementation.

Professional and harmonious team of friends

Our team is a second family, so you would enjoy spending the day working on nice projects with kind people with broad interests.

A vast field for growth

Learn continuously, expand your skills and demonstrate your professional level and ability to take more responsibility to grow.

Great company culture

We care about you and are interested in your personal professional goals, motivation and we build a perfect work/life balance.

Responsibilities

• Design and ship AI-powered features end-to-end, with emphasis on backend and LLM integration layers.
• Build and maintain pipelines for AI agents, RAG workflows, and API integrations with LLM providers (OpenAI, Anthropic, etc.).
• Contribute to refactoring and modernizing legacy systems with AI readiness in mind.
• Collaborate with product, design, and research teams in a distributed environment.
• Implement design updates as part of a rebranding initiative (typography, assets, UI components).

Must-Have Skills

• 8+ years in engineering, with proven SaaS/B2B experience.
• Strong in TypeScript, Node.js, React, PostgreSQL.
• Hands-on experience integrating LLMs into production systems (prompt engineering, tool use, context management).
• Familiarity with agentic frameworks (LangChain, LlamaIndex, or similar) or building custom agent pipelines.
• Exposure to system design and scaling at enterprise level.
• Ability to ship high-quality features fast.
• Experience with vector databases (pgvector, Pinecone, Weaviate) is a plus.
• Experience migrating legacy systems or supporting multi-region infra is a plus.

Soft Skills

• Agentic mindset: builds autonomous, outcome-driven solutions — not just features.
• Stays current with the fast-moving AI tooling landscape; opinionated about what to use and why.
• Excellent cross-team communication in distributed environments.

Requirements

Great experience and opportunity

You will work on the fast-forward projects in Silicon Valley utilizing the latest technologies, methodologies, frameworks and approaches with the ability and time to learn and develop professionally.

Benefits

• Competitive salary and bonuses
• Flexible work hours
• Remote job
• Professional development opportunities
• Vibrant workplace culture