Director AI Engineering
Lead the development and deployment of agentic AI systems, LLMs, and autonomous workflows to enhance trading operations and decision-making at a global principal trading firm. Requires 3+ years in AI roles, strong Python skills, and technical leadership experience.
About the job
What You’ll Do
- Build intelligent features and autonomous workflows that enhance user experiences.
- Work with large language models (LLMs), agentic frameworks, and orchestration tools to develop next-generation interfaces and intelligent assistants that support workflows.
- Build robust orchestration and automation workflows integrating multi-agent capabilities.
- Develop and maintain pipelines for training, benchmarking, validating, and deploying LLMs and autonomous agents into production environments.
- Build and optimize intelligent tools and automation systems that improve efficiency and decision-making.
- Ensure software quality through clean, maintainable, and optimized code, including support for efficient inference.
- Provide technical leadership on best practices for AI integration, process design, documentation, lifecycle management, and security.
- Drive adoption of AI solutions through collaboration, training, and thought leadership across teams.
- Perform big data analytics with Agentic AI systems to create actionable insights from verified sources.
- Present insights and outcomes to senior leadership, influencing strategic decisions.
What We’re Looking For
- Degree in Computer Science, Engineering, or a related quantitative field.
- 3+ years of experience in AI, automation, or advanced technology roles.
- Experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows.
- Strong proficiency in Python and familiarity with AI frameworks and libraries.
- Hands-on experience with MCP and prompt engineering.
- Understanding AI solutions for deployment and monitoring in enterprise environments is important.
- Excellent problem-solving and communication skills; ability to work independently and with senior stakeholders.
- Experience with cloud platforms is a plus.
Compensation
Base Salary Range: $250,000 – $350,000, plus eligibility for a performance-based bonus. Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program.
Skills
Python, LLMs, Agentic AI, Agent Orchestration, Prompt Engineering, Mcp, Ai Frameworks, Cloud Platforms
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