Staff AI EngineerVerified as a real position

Who 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
• Excellent 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
• Prior experience leading an AI systems team
• Experience shipping and operating multiple GenAI or LLM systems in production
• Hands-on experience debugging scaled LLM systems and participating in incident response
• Experience building human-in-the-loop evaluation pipelines
• Experience with RAG, embeddings, and model fine-tuning
• Experience implementing evaluation suites for agentic systems running in production
• 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
• 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
• Help define the engineering standards and architectural patterns that make these systems reliable, scalable, and maintainable over time

About the position

VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company.

Benefits

• We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company.
• 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 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.