Client is a quantitative digital asset management firm.
Design a framework for agentic transformation to revolutionize operations, tackle high-impact problems, and develop groundbreaking systems in an environment valuing creativity and initiative.
Key Responsibilities:
Design and deploy automation tools to optimize workflows.
Develop frameworks integrating AI and agents for process transformation.
Implement LLMs and AI agents to reduce manual tasks and enhance decision-making.
Collaborate with traders, engineers, and analysts to identify inefficiencies and implement solutions.
Continuously refine systems for peak performance.
Stay updated with the latest AI and automation technologies.
Who You Are:
Total career exp: 8 yrs max.
Experience: 3+ years in Python development.
Mindset: Proactive builder with problem-solving skills, high personal agency, and passion for innovation. Hackathon experience is a plus!
Technical Skills:
Proficient in Python for building scalable systems.
Bonus: Familiarity with Rust, SQL, ClickHouse, Kafka, or pub-sub messaging.
Advantageous: Experience with Aider, Cursor, Windsurf, or DSPy.
Plus: Knowledge of LLM querying or agent swarm mechanisms.
Highly desirable: Hands-on experience with Airflow, Prefect, or Mage.ai for pipelining and scheduling.
Strong math background advantageous for solving complex problems.