AI Engineer - California, United States

Back to careers RemoteCaliforniaFull-time employeeAI EngineeringTravel >25% AI Engineer - California, United States Build and deploy AI applications, LLM-powered research systems, RAG pipelines, and production infrastructure. Remote within California, with business travel exceeding 25% annually. California, United States Full-time employee USD $125,000-$155,000/year About Finstock Finstock, Inc. builds AI-powered financial research, trading analytics, quantitative research, and market intelligence tools for analysts, research teams, and institutional users. Our 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. Role Application Apply for this role Submit your information for the AI Engineer - California, United States role. Open Full name

• Email address
• Country / region
• Current location / time zone
• Phone number
• LinkedIn profile URL
• Resume/CV link or portfolio link
• Are you willing and able to travel for more than 25% of annual working time? Please describe any relevant availability constraints.
• Confirm that you are based in California and describe your authorization to work in the United States.
• Years of professional AI, machine learning, or software engineering experience *Select experience rangeLess than 3 years3-5 years5-8 years8+ years

Current or most recent role

• Expected annual compensation
• Availability / earliest start date
• Describe an AI application you built using LLMs, RAG, embeddings, or agents, including deployment, latency, and reliability.
• How do you evaluate AI systems and address hallucinations, prompt injection, data leakage, and reliability?
• Describe your Python, SQL, statistical analysis, and machine-learning tools and how you used them.
• Have you worked with market data, company fundamentals, filings, corporate actions, macroeconomic indicators or financial datasets? Explain briefly.
• Describe your MLOps approach to CI/CD, monitoring, drift detection, incident response, rollback, and model limitations.
• Additional notes

I confirm that the information I provide is accurate and that I understand this role does not permit personalized investment advice, trade execution, management of client funds, guaranteed model outcomes, unauthorized data use, or deployment without required validation and approval.I acknowledge that I have read the Applicant Privacy Notice.I would like Finstock, Inc. to retain my application for consideration for future roles where permitted by applicable law. Role summary Company Finstock, Inc. Location Remote - California, United States Employment Full-time employee Base salary USD $125,000-$155,000 per year Travel More than 25% annually Department AI & Engineering Reporting to Engineering Leadership Apply now