AI Engineer

• AI agents capable of reasoning, tool usage, knowledge retrieval, and multi-step task execution.
  
• Production-grade AI workflows designed around real business problems rather than isolated demos.
  
• AI-powered applications and automations that improve business processes and user experiences.
  
• Backend services, APIs, and integrations connecting AI systems with databases, business applications, and third-party platforms.
  
• Knowledge-driven and memory-based AI experiences.
  
• Automation solutions across areas such as legal operations and other domain-heavy workflows, depending on client requirements.
  
• Reliable AI systems with evaluation, monitoring, error handling, observability, and continuous improvement.
  

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