AI Engineer

Requirements

Hands-on experience building AI agents, LLM-powered applications, automations, or workflow systems.

Strong experience with Python, APIs, backend development, and system integrations.

Experience working with:

LLMs and prompt engineering

Tool/function calling

Structured outputs

RAG and knowledge retrieval

Agentic workflows

Memory and contextual systems

Ability to translate ambiguous business requirements into practical technical solutions.

Strong debugging, experimentation, and problem-solving skills.

A builder mindset -you enjoy shipping, testing, iterating, and improving systems in production.

Comfort working with ownership in a fast-moving startup environment with limited hand-holding.

Strong communication skills and the ability to work with product, engineering, and business teams.

Nice to Have

Experience working in legal tech, fintech, climate tech, or other domain-heavy environments.

Previous experience in an early-stage or high-growth startup.

Exposure to agent frameworks such as LangGraph, LangChain, CrewAI, or similar tools.

Experience with vector databases, evaluation frameworks, observability, and production AI infrastructure.

Experience designing systems where knowledge, memory, and business context are core to the user experience.

Experience deploying and operating AI applications in production.

Benefits

Work on international projects: Be part of a global team working with clients from across the world.

Regular team outings: Even with remote work, we believe in building strong team bonds through regular social and team-building events.

Collaborative & growth-oriented: Learn from senior engineers, work in a collaborative environment, and grow professionally with opportunities for career development.

Competitive Salary and Benefits