Remote AI Engineer — LLMs, RAG & FinTech Analytics

Finstock, Inc.; California; Remote; USD 125,000 - 155,000; Full time

Job summary

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.

Qualifications

• 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.

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.

Skills

Python

ML frameworks

LLMs

RAG

APIs

Cloud infra

Docker

CI/CD

SQL

English

Education

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

Tools

Docker

Kubernetes

APIs

CI/CD

Job description

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.