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About the Role

As an AI Engineer, you will build the intelligence layer of the platform, developing AI-powered features for financial services users. This includes generating data transformations from natural language, receiving intelligent integration suggestions, detecting data quality issues, and refining outputs based on feedback. This is a hands-on production role where you will build and iterate on LLM pipelines, RAG systems, and agentic workflows, optimizing AI systems for accuracy, latency, and cost. You will collaborate closely with Backend Engineers and work under the direction of the Head of AI Engineering, with ownership over the features you build.

Responsibilities

Build and iterate on AI-powered product features, including transformation generation from natural language, integration configuration suggestions, data quality detection, and automated validation.
Implement LLM pipelines that are robust, observable, and production-ready.
Build and optimize LLM pipelines, including prompt engineering, context management, and RAG systems tailored to financial services data schemas.
Evaluate and improve AI output quality continuously by building evaluation datasets and automated scoring frameworks.
Optimize for accuracy, latency, and cost across different usage patterns.
Implement multi-step agentic workflows using Agno.
Build workflows that handle complex, multi-turn AI interactions cleanly, with proper error handling, retry logic, and human escalation paths.
Work closely with Backend Engineers to integrate AI capabilities into the platform's API and workflow layer.
Build the service interfaces that connect AI outputs to platform execution cleanly.
Participate in code reviews and maintain high standards for code quality and testability.

Requirements

5+ years of software engineering experience.
1+ years of experience focused on GenAI/LLM applications in production.
Shipped AI features to real users, not just prototypes or internal demos.
Hands-on experience with LLM APIs in production (Anthropic Claude and/or OpenAI).
Built and shipped RAG systems to production.
Experience with agentic frameworks (Agno, LangChain, LlamaIndex, or comparable).
Strong Python proficiency.
Azure or AWS cloud experience.
Experience with vector databases (Pinecone, Weaviate, pgvector, or comparable).
Active user of AI coding assistants in daily workflow.

Skills

GenAI
LLM
LLM APIs
Anthropic Claude
OpenAI
RAG systems
Agentic frameworks
Agno
LangChain
LlamaIndex
Python
Azure
AWS
Vector databases
Pinecone
Weaviate
pgvector
AI coding assistants

Location

Work Type

Full-time

Experience Level

5+ years software engineering
1+ years focused on GenAI/LLM applications in production

Salary/Compensations

MA: $175,000 - $215,000 base salary + annual target bonus
NY/ NJ: $175,000 - $215,000 base salary + annual target bonus

Benefits

Discretionary bonuses
Profit-sharing
Long-term savings
Healthcare
Income protection
Professional development opportunities
Time off

About the Company

Brown Brothers Harriman (BBH) is a premier global financial services firm known for its premium service, specialist expertise, technology solutions, and partnership approach to client management.
BBH operates with a 200-year legacy and a shared passion for innovation.
The firm believes in supporting professional and personal goals to help clients and advance the business.
BBH is a private partnership that invests in relationships, technologies, products, and development for the long-term interests of clients and people.
The company fosters a collaborative environment where ideas are shared freely and everyone is empowered to contribute.
BBH believes stability is a competitive advantage, requiring continuous evolution and pushing the boundaries of innovation.

Equal Opportunity

BBH is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.