AI Engineer (m/f/d)

About the role

In this role, you will develop and improve BIT Capital's LLM and agentic AI capabilities. Your work will focus on transforming data into investment signals and building systems that support financial intelligence agents.

You will be responsible for designing extraction pipelines, integrating systems for data access, and implementing evaluation practices. Success in this role involves staying updated with the latest AI techniques and ensuring the reliability of these systems at scale.

The salary range for this position is between $65,000 and $95,000 USD.

Skills that matter here

• Python: This role requires strong Python skills for building software and data systems.
• SQL: SQL is essential for data manipulation and extraction in investment signal pipelines.
• AWS: Experience with AWS is preferred for managing cloud infrastructure.
• Databricks: Databricks may be used for data processing and analytics in this role.

Who this role suits

• You have a solid background in data science or engineering.
• You thrive in dynamic environments and are eager to learn about investing.
• You have experience in developing software and ML systems in production.
• You are disciplined in your approach to building reliable and scalable AI systems.

From the employer

Responsibilities

• Design and ship LLM-based extraction pipelines that turn text and data into investment scores, alerts, signals, and insights.
• Build and evolve the agentic systems that power Aion.
• Build the integrations that give agents performant, safe access to BIT's data and capabilities.
• Build automated and human-in-the-loop evaluations, regression tests, and monitoring.
• Establish LLMOps practices that keep these systems reliable at scale.
• Stay at the frontier of LLM and agentic AI techniques and bring new ideas into production.

Requirements

• Solid data science and engineering background, with at least 2 years building software, data systems, or ML in production.
• Experience with leading agentic systems (Claude Code, Anthropic Managed Agents, Codex).
• Strong Python and SQL skills with clean engineering practices.
• Cloud infrastructure experience (AWS strongly preferred).
• Production discipline for probabilistic systems: evaluations, regression tests, monitoring, reproducibility, and cost awareness.
• Genuine interest in investing or a strong drive to learn about the domain quickly.

Conditions

• Full-time position with a salary range of $65,000 – $95,000 USD.
• Opportunity to work on cutting-edge AI projects in a dynamic environment.