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As an AI Staff Engineer you'll play a crucial role in developing and refining our product’s AI. You'll report directly to our VP of Engineering and work closely with our engineering and product teams to enhance our AI capabilities and drive innovation in our fin-tech AI platform.
Job Responsibility:
Utilize the best-in-class models available on the market to deliver meaningful solutions for our clients, bringing them from the idea stage all the way to production
Collaborate with the team to integrate AI solutions into our existing production processes
Design and implement scalable AI system architecture handling including model orchestration, caching strategies, and fallback mechanisms
Evaluate and implement new AI technologies and methodologies to keep WiseLayer and BlackLine at the cutting edge
Requirements:
4+ years of experience as a Full Stack Software Engineer or a similar role developing, shipping, and testing of software within a well-established enterprise
Bachelor’s degree in Computer Science, Engineering or a related field
Demonstrated experience working with production LLM APIs (OpenAI, Anthropic, Google, etc.) including handling rate limits, cost optimization, and performance monitoring in live systems
Clear experience utilizing frameworks like RAG in production applications to further enhance the foundational models for proprietary applications and datasets
Experience with AI system testing methodologies including model evaluation, A/B testing of AI features, and monitoring model performance in production
Experience with data pipelines and ETL/ELT processes
Nice to have:
Understanding of data privacy and security best practices particularly in the age of AI
Experience with model deployment and MLOps practices
Understanding of AI cost optimization and performance tuning
Experience with vector databases and embedding systems
Strong track record of experience with backend development in Java
Strong proficiency in front-end technologies (e.g. JavaScript, React)
Strong analytical and problem-solving skills
Experience in fin-tech or financial services industry a plus