Pipeline run

Job description

About the job
Why Bynd



Bynd is building the intelligence layer for financial services.



We work with leading investment banks, private equity firms, asset managers, lenders, and advisory teams to transform how they extract, analyze, and act on information buried across financial documents, filings, reports, and internal workflows.



We operate with the standards of a research team and the urgency of a product company. We care deeply about technical quality, product taste, and building things that get used.



The Role



As an Applied AI Engineer at Bynd, you will work across the core systems that power our product: document intelligence, retrieval, agentic workflows, and the infrastructure required to deploy them reliably in production.



You will build systems that financial institutions depend on for high-accuracy extraction, analysis, and workflow automation.



What You Will Need



Must-haves

Strong programming ability in Python and TypeScript
Experience integrating LLMs into production systems, including prompting, context management, structured outputs, and cost-performance tradeoffs
Experience building or working with document processing systems such as VLMs for OCR and layout parsing models
Comfort with cloud deployment and production systems, including containers, CI/CD, and Azure or GCP
Experience thinking carefully about system quality, including evaluation, observability, or failure analysis for complex AI workflows


Preferred

Experience with RAG systems, hybrid retrieval, reranking, and eval design
Experience with vision-language models or multimodal document understanding
Familiarity with Azure- or GCP-based AI infrastructure
Familiarity with financial services workflows such as investment banking, private equity, equity research, credit, or diligence
Experience building multi-step agentic systems or using modern agent tooling


Who You Are

You thrive in fast-moving environments and care deeply about the quality of what you build.
You are ambitious and energized by difficult problems. You like working on things that are technically hard, operationally messy, and valuable when solved well.
You are AI-native in how you work. Tools like Claude Code, Cursor, Codex, and modern model APIs are part of your everyday workflow. You know these tools are powerful, but you also understand where they fail and how to build with judgment around them.
You are an owner. You are autonomous, self-directed, and comfortable with ambiguity. You take responsibility for outcomes, not just tasks.
You are curious about the domain. You want to understand how financial professionals actually work, what makes a workflow painful, what accuracy really means in context, and why a product decision matters.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Library artifacts (this run)