Staff AI Engineer, StockStory

We're looking for a Staff AI Engineer to help build the next generation of AI-powered equity research.

This role is for engineers who are excited by taking LLM capabilities beyond prototypes and turning them into robust product systems that deliver real value in production. It is especially well suited to people who enjoy designing end-to-end workflows, shaping technical direction, and building reusable foundations that help multiple teams move faster.

You will design, build, and ship LLM-powered systems that integrate into new and existing workflows across the platform, spanning orchestration, retrieval, tool use, evaluation, and operational safeguards. You will also help define the engineering standards and architectural patterns that make these systems reliable, scalable, and maintainable over time.

This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, infrastructure, and AI platform decisions while working closely with engineering and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers.

A genuine interest in investing, public markets, and fundamental business analysis is expected.

What You'll Do:

· Build end-to-end distributed agentic AI solutions that are reliable and scalable

· Lead cross-functional initiatives requiring coordination across multiple teams and shared systems

· Mentor other engineers and define quality standards and best practices

· Own long-term maintainability, observability, and cost efficiency of AI systems

· Monitor model quality drift, prompt alignment, alerting, and operational health

Requirements:

• Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems
• Proven experience designing and deploying LLM-based or GenAI systems in real-world applications
• Strong programming skills in Python and experience with modern backend architecture and distributed systems
• Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies
• Experience building scalable data pipelines and working with large, messy, or unstructured datasets
• Ability to design systems with strong observability, reliability, and performance characteristics in mind
• Experience working in cross-functional environments and leading technical projects end-to-end
• Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
• Demonstrated interest in financial markets, investing, or business analysis

Location:

At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities:

• Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes

• Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars

• Extras -- Dry cleaning, shoe shining and sneak peeks

• Don’t have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City

In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves.