AI Engineer - California, United States

Finstock, Inc. is seeking an experienced AI Engineer to build and improve AI systems for its financial research and market intelligence platform. The role focuses on LLM-powered applications, machine-learning systems, model integrations, and reliable production infrastructure in collaboration with research and engineering teams.

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

Benefits

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.

Company

AI-powered investment advisory and trading analytics platform

Central, Hong Kong Island, HKG

https://www.finstock.co/

Founded in 2023

51-200 employees

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

Business travel exceeding 25% of annual working time is required

Candidates must be legally authorized to work in the United States and be based in California

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

4+ years of professional experience in AI engineering, machine learning, or software engineering.

Required skills

Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), PyTorch, TensorFlow, Embeddings, Prompt Engineering, Model Evaluation, Docker, CI/CD, SQL, API Development

Experience

4+ years