AI Engineer (m/f/d)
Role in brief
BIT Capital is looking for an AI Engineer to build and deploy LLM and agentic AI systems for investment signal generation. This role involves developing extraction pipelines, agentic systems, and integrations, while establishing LLMOps practices. Candidates with a strong background in data science and engineering, proficiency in Python and SQL, and experience with cloud infrastructure should apply.
About the role
This role focuses on developing BIT Capital's AI capabilities, specifically with large language models (LLMs) and agentic AI. The work involves designing and implementing pipelines that convert text and data into actionable investment signals, such as scores, alerts, and insights. A key aspect is building and refining the agentic systems that power the company's financial intelligence platform, Aion.
The engineer will also be responsible for creating integrations that provide these AI agents with secure and efficient access to BIT Capital's data and functionalities. This includes establishing robust LLMOps practices to ensure the reliability and scalability of these systems. The position requires a commitment to continuous learning and bringing new AI techniques into production.
Success in this role means delivering reliable, scalable AI solutions that contribute to investment signal generation. This involves a strong focus on production discipline for probabilistic systems, including developing evaluations, regression tests, and monitoring tools. The ideal candidate will have a solid data science and engineering background, coupled with an interest in investing.
The full-time position offers a salary range between $65,000 and $95,000 USD.
Skills that matter here
- Python: This role requires strong Python skills for building software, data systems, and machine learning solutions in production.
- SQL: Proficiency in SQL is necessary for managing and interacting with data within the AI systems.
- AWS: Experience with cloud infrastructure, particularly AWS, is strongly preferred for deploying and managing AI solutions.
- Databricks: Experience with Databricks is part of the technology stack used in this role.
Who this role suits
- A person with at least two years of experience building software, data systems, or machine learning in production.
- Someone who has experience with leading agentic systems like Claude Code, Anthropic Managed Agents, or Codex.
- An individual who prioritizes clean engineering practices and production discipline for probabilistic systems.
- A candidate with a genuine interest in investing or a strong motivation to quickly learn about the domain.
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.
Questions about this role
What is the remote work policy for this position?
This is a fully remote position.
What level of seniority is expected for this role?
This role is for a middle-seniority professional.
What are the core technical skills required?
The core technical skills required are Python, SQL, and experience with cloud infrastructure, preferably AWS.