AI Engineer - California, United States

Finstock, Inc.; Hongkong; Hybrid; HKD 981,000 - 1,217,000; Full time

Job summary

Finstock, Inc. is seeking an experienced AI Engineer to design, build, and deploy scalable AI-powered systems for financial research and market intelligence.

You will collaborate with AI Engineering, Data Science, Quantitative Research, Product, and Software teams to deliver production-ready AI applications and robust infrastructure. The role requires 4+ years in AI/ML, strong Python, and experience with PyTorch/TensorFlow, LLMs, and RAG pipelines.

Qualifications

• 4+ years of experience in AI engineering, ML, or software engineering.
• Proficiency in Python and production software development.
• Hands-on experience with PyTorch, TensorFlow, or comparable ML frameworks.
• Experience building applications using LLMs, RAG, embeddings, and AI APIs.
• Familiarity with model evaluation, prompt engineering, and AI system reliability.
• Experience with cloud infrastructure, Docker, CI/CD, and API development.
• Knowledge of SQL, data pipelines, and scalable backend systems.
• Strong analytical, debugging, and problem-solving skills.
• Professional fluency in English.
• Ability to work remotely within California and travel >25% annually.

Responsibilities

• Design, develop, and deploy scalable AI and ML applications.
• Build LLM-powered research systems, RAG pipelines, intelligent agents, and workflow orchestration.
• Develop and optimize AI inference services, APIs, model integrations, and backend infrastructure.
• Work with financial data, research documents, market intelligence, and structured datasets.
• Implement embeddings, vector search, semantic retrieval, and document understanding systems.
• Develop model evaluation, benchmarking, monitoring, and reliability frameworks.
• Improve AI performance, latency, scalability, security, and infrastructure efficiency.
• Collaborate with Data Scientists and Quantitative Researchers on financial research and analytical applications.
• Address model hallucination, prompt injection, data leakage, and other AI-related risks.
• Participate in architecture reviews, technical planning, testing, and production deployment.
• Travel for engineering collaboration, company meetings, technical workshops, and approved business activities.

Skills

Python

ML frameworks

LLMs/RAG

API development

Data pipelines

English proficiency

Cloud infrastructure

Education

Bachelor's/Master's/PhD in CS/AI

Tools

Docker

Kubernetes

Job description

About Finstock

Finstock, Inc. builds AI-powered financial research, trading analytics, quantitative research, and market intelligence tools for analysts, research teams, and institutional users. This technology combines financial data, machine learning, large language models, and quantitative analytics to support intelligent, reliable, and scalable financial research workflows.

About the Role

Finstock is seeking an experienced AI Engineer to design, build, deploy, and improve AI-powered systems across our financial research and market intelligence platform. You will work closely with AI Engineering, Data Science, Quantitative Research, Product, and Software Engineering teams to develop reliable AI applications, model integrations, intelligent research workflows, and production infrastructure. This is a full-time remote position based in California, requiring business travel exceeding 25% annually.

Key Responsibilities

• Design, develop, and deploy scalable AI and machine-learning applications.
• Build LLM-powered research systems, retrieval-augmented generation (RAG) pipelines, intelligent agents, and workflow orchestration.
• Develop and optimize AI inference services, APIs, model integrations, and backend infrastructure.
• Work with financial data, research documents, market intelligence, and structured datasets.
• Implement embeddings, vector search, semantic retrieval, and document-understanding systems.
• Develop model evaluation, benchmarking, monitoring, and reliability frameworks.
• Improve AI performance, latency, scalability, security, and infrastructure efficiency.
• Collaborate with Data Scientists and Quantitative Researchers on financial research and analytical applications.
• Address model hallucination, prompt injection, data leakage, and other AI-related risks.
• Participate in architecture reviews, technical planning, testing, and production deployment.
• Travel for engineering collaboration, company meetings, technical workshops, and approved business activities.

Required Qualifications

• 4+ years of professional experience in AI engineering, machine learning, or software engineering.
• Strong proficiency in Python and production software development.
• Hands-on experience with PyTorch, TensorFlow, or comparable ML frameworks.
• Experience building applications using LLMs, RAG, embeddings, and AI APIs.
• Strong understanding of model evaluation, prompt engineering, and AI system reliability.
• Experience with cloud infrastructure, Docker, CI/CD, and API development.
• Knowledge of SQL, data pipelines, and scalable backend systems.
• Strong analytical, debugging, and problem-solving skills.
• Professional fluency in English.
• Ability to work remotely within California and travel more than 25% annually.

Preferred Qualifications

• Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience in fintech, financial services, quantitative research, or market intelligence.
• Experience with agentic AI, tool calling, workflow orchestration, and multimodal models.
• Familiarity with vector databases, Kubernetes, MLOps, and distributed systems.
• Experience building secure, enterprise-grade AI applications.
• Familiarity with financial market data, time-series analysis, and research automation.

Travel Requirements

• Business travel exceeding 25% of annual working time is required.
• Travel may include company meetings, engineering workshops, technical planning sessions, industry conferences, and collaboration with international teams.
• Approved business travel expenses will be handled according to company policy.

What We Offer

• Annual base salary of USD $125,000–$155,000.
• Full-time remote work within California.
• Opportunities to build AI systems for financial research and quantitative analytics.
• Collaboration with international AI, Data, Engineering, Product, and Research teams.
• Opportunity to influence AI architecture, model reliability, and engineering standards.
• Exposure to advanced machine learning, LLMs, and financial technology.

Important Role Boundaries

This position focuses on AI engineering and financial research technology. It does not involve providing personalized investment advice, executing trades, managing client funds, or guaranteeing financial outcomes. All AI systems must follow applicable security, privacy, data-licensing, model-validation, and internal approval requirements.

Work Eligibility

Candidates must be legally authorized to work in the United States and be based in California. This posting does not guarantee immigration sponsorship or relocation assistance.

Equal Opportunity Statement

Finstock, Inc. is an equal opportunity employer. Hiring decisions are based on relevant qualifications, technical skills, experience, and applicable employment requirements. Finstock, Inc. does not request application fees, recruitment fees, equipment payments, training payments, travel deposits, or onboarding fees from candidates.