Senior AI Systems Engineer (LLM & Agentic Systems)

TL;DR

Senior AI Systems Engineer (LLM & Agentic Systems): Building reliable, scalable AI-powered equity research systems with an accent on distributed agentic workflows, retrieval and reranking, and production infrastructure. Focus on designing LLM-powered systems, building evaluation and observability frameworks, and solving reliability, performance, and operational challenges at scale.

Location: Hybrid role based at CNBC Headquarters in Englewood Cliffs, New Jersey, with 3 days in the office.

Salary: USD 140,000–175,000 yearly.

Company

StockStory, part of hirify.global and CNBC, develops AI-powered equity research products for individual investors.

What you will do

• Build and operate distributed agentic AI solutions, including workflows, retrieval and reranking systems, model integrations, and data pipelines.
• Own complex AI features and subsystems from system design through deployment, monitoring, and operation.
• Contribute to architecture, technical standards, model lifecycle management, and evaluation frameworks.
• Improve observability and operational health through cost monitoring, quality tracking, drift detection, alerting, and incident response.
• Identify and mitigate AI-system risks such as performance regressions, bias, alignment issues, and reliability problems.
• Collaborate with engineers, analysts, investors, product stakeholders, and senior leadership while supporting technical growth.

Requirements

• Bachelor’s degree in Computer Science or equivalent practical experience.
• At least 5 years of software engineering experience building and shipping production systems.
• Strong Python skills and backend experience in a strongly typed language, preferably TypeScript.
• Experience designing and deploying LLM or GenAI systems, agentic workflows, RAG pipelines, embeddings, vector databases, and evaluation suites.
• Knowledge of AWS, cloud computing primitives, distributed systems, observability, reliability, and performance engineering.
• Interest in financial markets, investing, public markets, or fundamental business analysis, with the ability to communicate complex technical concepts clearly.

Nice to have

• Experience with LangChain, Mastra, or LangGraph.
• Experience fine-tuning or adapting models for specific tasks.
• Experience implementing human-in-the-loop evaluation workflows.

Culture & Benefits

• Small, high-ownership team with fast execution, autonomy, and low bureaucracy.
• Direct collaboration with experienced market professionals, senior leadership, and product stakeholders.
• Access to a free onsite fitness center, group classes, and gourmet cafeteria at CNBC Headquarters.
• Free shuttle transportation from multiple locations in Manhattan, Brooklyn, Hoboken, and Jersey City.
• Opportunity to influence the growth of a data, technology, and product platform within CNBC.

Hiring process

• External candidates may be required to attend an in-person interview at a hirify.global location before a hiring decision.