Senior AI Engineer

We're looking for a highly capable Senior AI Engineer to join our team to build the next generation of AI-powered equity research. This role is hybrid, 3 days in office.

This role is for engineers who enjoy turning LLM and agentic AI capabilities into reliable product systems embedded in real-world workflows. It is especially well suited to people who want to work hands-on across architecture, implementation, and operations while helping define how AI capabilities get integrated into products used by individual investors.

You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets.

You will design, build, and operate core components of our AI platform: distributed agentic workflows, retrieval and reranking systems, model integrations, and the infrastructure required to make these systems reliable, observable, and scalable in production.

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, engineering, and AI systems decisions while working closely with peers, product stakeholders, 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 We're Looking For:

• Bachelor’s degree in Computer Science or equivalent practical experience
• Minimum of 5 years of experience designing, building, and maintaining software systems
• Strong backend expertise in at least one strongly typed language, preferably TypeScript
• Solid understanding of cloud computing primitives, especially AWS
• Strong understanding of agentic AI concepts such as tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation
• Experience developing and deploying agentic workflows using frameworks such as LangChain, Mastra, or LangGraph
• Experience contributing to system design and technical decision-making
• Experience shipping and operating multiple GenAI or LLM-powered systems in production
• Hands-on experience debugging scaled LLM systems and participating in incident response
• Experience building RAG pipelines using embeddings and vector databases
• Familiarity with fine-tuning or adapting models for specific tasks
• Experience implementing evaluation pipelines, including human-in-the-loop workflows
• Experience building or maintaining evaluation suites for agentic systems in production

What You'll Do

• Build end-to-end distributed agentic AI solutions that are reliable and scalable
• Own complex features or subsystems from design through deployment and operation
• Collaborate cross-functionally to integrate AI capabilities into products and data pipelines
• Contribute to architectural decisions and technical standards for AI systems
• Maintain observability and operational health, including cost metrics, quality monitoring, drift detection, alignment, alerting, and incident response
• Support the team’s overall technical growth
• Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues
• Use and improve model lifecycle management, monitoring, and evaluation frameworks

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.