AI Automation Engineer for Asset Management Workflows

LABUR; San Francisco (CA); On-site; USD 96,000 - 103,000; Full time

Job summary

LABUR, collaborating with a client, is seeking an AI Developer to build automation for asset management workflows. You will convert business problems into scalable AI-enabled and rule-based solutions to reduce manual effort and save time for business teams.

You will create AI/ML features, integrate with reconciliation platforms, and work with business, operations, product, technology, risk, and vendor teams to deliver production-ready, supportable solutions.

Qualifications

• Bachelor's degree in CS/IS/Engineering/Data Science/Finance/Accounting or equivalent experience.
• Several years of software engineering, AI development, data engineering, or automation engineering experience.
• Proficient in Python, Java, JavaScript/TypeScript or similar with strong SQL skills.
• Experience with Google Cloud Platform services (Storage, Run, Dataflow, Composer) and secret management.
• Knowledge of Vertex AI Search and Gemini AI platforms and APIs.

Responsibilities

• Build AI-enabled automation for reconciliation and middle office workflows (cash/position/transaction data).
• Develop exception classification, anomaly detection, break prioritization, and root-cause analysis features.
• Design classification, summarization, semantic search, and decision-support using AI/ML.
• Collaborate with business, operations, product, technology, risk, and vendor teams on production-ready solutions.
• Create technical designs, data mappings, workflows, and runbooks.

Skills

Programming skills

Python/Java/JS

SQL & data transformation

AI development

Automation

Education

Bachelor's degree in CS/IS/Engineering/Data Science/Finance/Accounting

Tools

GCP (Cloud Storage, Cloud Run, Dataflow)

Vertex AI Search

Gemini LLMs / Platform

Gemini Flash 3.5 / Flash-Lite

CI/CD / Monitoring / Production support

Job description

LABUR, collaborating with a client, is seeking an AI Developer to build automation for asset management workflows. You will convert business problems into scalable AI-enabled and rule-based solutions to reduce manual effort and save time for business teams.

You will create AI/ML features, integrate with reconciliation platforms, and work with business, operations, product, technology, risk, and vendor teams to deliver production-ready, supportable solutions.