AI Engineer - California, United States

Finstock, Inc.; California; A distancia; USD 125.000 - 155.000; Jornada completa

Descripción de la vacante

Finstock, Inc. seeks an experienced AI Engineer to design, build, deploy, and improve AI-powered systems across our financial research and market intelligence platform.

This is a full-time remote position based in California, with business travel exceeding 25% annually. You will work with AI Engineering, Data Science, Quantitative Research, Product, and Software Engineering teams to develop reliable AI applications, model integrations, and production infrastructure.

Formación

• 4+ years of professional experience in AI engineering, ML, or software engineering.
• Strong Python proficiency 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.

Responsabilidades

• 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.

Conocimientos

Python

ML frameworks

LLMs

RAG

APIs

Cloud infra

Docker

CI/CD

SQL

English

Educación

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

Herramientas

Docker

Kubernetes

APIs

CI/CD

Descripción del empleo

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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 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