Introduction:
We are seeking a senior software engineer who has built real agentic systems, thinks deeply about how to evaluate agents and understands how to deliver reliable AI products. In this role, you’ll work within our AI Engineering team and contribute to the platform that helps traders, researchers and engineers build trusted AI applications. You’ll have opportunities to work across the full lifecycle from model inference, evaluation, deployment and observability of agents solving real business outcomes.
Key Responsibilities:
- Architect, develop and operate our internal AI Engineering platform
- Design and implement evaluations for agents across a range of tasks, developing robust ways to measure quality, reliability, and business impact
- Work closely with internal partner teams building their own applications and workflows with AI
- Understand the model provider landscape and the strengths/weaknesses of different model families
- Collaborate within the global AI Engineering team to share perspectives from your local customers
- Produce high-quality, unit-tested code and uphold consistent style and documentation through code reviews and CI/CD practices
- Troubleshoot and debug AI systems to ensure optimal performance
Qualifications:
- Bachelorʼs degree in Computer Science, AI, or related field
- Minimum of 4 years of professional software or ML engineering experience
- Strong problem-solving skills: ability to make progress on ambiguous problems, make pragmatic engineering decisions
- Solid software engineering fundamentals and a track record of building maintainable production systems
- Excellent knowledge of Python, common AI/ML libraries and integration with 3rd party services
- Some commercial or open source experience in developing AI agents with any of the well-known services
- Experience with LLM inference engines (sglang/vLLM/etc) a plus but not required
- Experience with model fine-tuning a plus but not required
DIVERSITY STATEMENT
Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.
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