Senior AI Engineer
Brown Brothers Harriman & Co.2 hours ago
Tokyo, JapanSenior
Base Salary
$175k - $215k/yr
Responsibilities
- Build and iterate on AI-powered product features for natural-language data transformations, integration configuration suggestions, data quality detection, and automated validation.
- Implement robust, observable, production-ready LLM pipelines with prompt engineering, context management, and RAG systems tailored to financial-services data schemas.
- Build evaluation datasets and automated scoring frameworks to continuously improve AI output quality.
- Optimize AI systems for accuracy, latency, and cost across usage patterns.
- Implement multi-step, multi-turn agentic workflows using Agno with error handling, retry logic, and human escalation paths.
- Collaborate with Backend Engineers to integrate AI capabilities into platform APIs and workflow layers.
- Build service interfaces connecting AI outputs to platform execution, participate in code reviews, and maintain code quality and testability.
Requirements
- 5+ years of software engineering experience and 1+ year focused on GenAI/LLM applications in production.
- Experience shipping AI features to real users rather than only prototypes or internal demos.
- Production experience with LLM APIs such as Anthropic Claude and/or OpenAI.
- Production experience building and shipping RAG systems.
- Experience with agentic frameworks such as Agno, LangChain, LlamaIndex, or comparable tools.
- Strong Python proficiency and experience with Azure or AWS cloud platforms.
- Experience with vector databases such as Pinecone, Weaviate, pgvector, or comparable technologies.
- Active daily use of AI coding assistants.
- Preferred: financial-services or data-domain experience, including financial data schemas, transformation logic, or data quality requirements.
- Preferred: experience with Temporal or workflow orchestration systems.
- Preferred: experience fine-tuning models or working with open-source LLMs for domain-specific tasks.
- Preferred: open-source AI contributions, technical writing, and familiarity with ETL/ELT data engineering patterns.
Benefits
- Benefits include long-term savings, healthcare, income protection, professional development opportunities, and time off.
- The total rewards program may also include discretionary bonuses and profit-sharing.
- BBH supports employee well-being and offers mentoring and opportunities for professional growth.