обновлено 22 часа назад
Staff AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Engineer (LLM/Agentic AI): Building and operating production-grade LLM-powered equity research systems with an accent on agentic workflows, retrieval, evaluation, and operational safeguards. Focus on designing distributed AI solutions, debugging scaled LLM systems, monitoring model quality drift, and improving reliability, maintainability, and cost efficiency.
Location: On-site in Prague, Czech Republic
Company
is a publicly traded media and entertainment company whose StockStory business, part of CNBC, develops AI-powered equity research products for individual investors.
What you will do
- Build and operate end-to-end distributed agentic AI solutions for equity research.
- Design LLM-powered workflows covering orchestration, retrieval, tool use, evaluation, and operational safeguards.
- Lead cross-functional initiatives involving multiple teams and shared systems.
- Mentor engineers and define engineering quality standards, architectural patterns, and best practices.
- Own the maintainability, observability, reliability, and cost efficiency of AI systems.
- Monitor model quality drift, prompt alignment, alerting, and operational health.
Requirements
- Bachelor’s degree in Computer Science or equivalent practical experience.
- At least 5 years of experience designing, building, and maintaining software systems.
- Strong backend expertise in a strongly typed language, preferably TypeScript, plus knowledge of AWS and cloud computing primitives.
- Experience with agentic AI concepts including tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation.
- Experience developing and deploying workflows with LangChain, Mastra, or LangGraph, and operating multiple GenAI or LLM systems in production.
- Prior AI systems team leadership, scaled LLM debugging, incident response, human-in-the-loop evaluation, RAG, embeddings, fine-tuning, and production evaluation suites.
Nice to have
- Practical interest in investing, public markets, and fundamental business analysis.
- Experience applying functional programming or graph-based systems where they provide a technical advantage.
Culture & Benefits
- Small, growing team with high ownership, autonomy, and fast execution.
- Startup-style experimentation combined with the backing and stability of a publicly traded company.
- Close collaboration with engineers, analysts, investors, and senior leadership.
- Employment is provided through Remote Technology Czech S.R.O., an Employer of Record responsible for local payroll, statutory benefits, and compliance with Czech employment legislation.
Hiring process
- External candidates may be required to attend an in-person interview with a Media employee before a hiring decision.
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