11 часов назад
Staff Engineer (Applied AI / ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer (Applied AI / ML) (Agentic Systems, LLMOps): Building and deploying production-ready AI products and agentic systems for enterprise clients with an accent on retrieval architecture, full-stack engineering, and rigorous evaluation. Focus on designing reliable tool-calling agents, hardening prototypes into secure production systems, and implementing observability, guardrails, and failure recovery.
Location: Remote within the USA; Austin, Texas or anywhere in the USA
Company
provides technology and business consulting, designing and implementing software and AI solutions for Media & Entertainment and Consumer Packaged Goods & Retail clients.
What you will do
- Lead client discovery workshops and translate business problems into AI use cases, product roadmaps, technical specifications, and evaluation criteria.
- Build rapid proof-of-concept applications and evolve successful prototypes into reliable, secure, maintainable production systems.
- Design single- and multi-agent systems with tool use, planning, state management, structured outputs, control loops, and failure recovery.
- Develop full-stack AI products across front-end experiences, backend services, APIs, data infrastructure, and cloud deployment.
- Build retrieval and grounding capabilities, including semantic and hybrid search, reranking, metadata filtering, and RAG integrations.
- Implement evaluation, observability, safety, governance, moderation, PII handling, prompt-injection defenses, and permission-aware tool use.
Requirements
- 7+ years of software engineering or technical product engineering experience, including 1+ year building and deploying Generative AI or LLM applications in production.
- Expert Python proficiency and strong software engineering fundamentals for real-time, interactive, and batch services.
- Experience with REST, WebSockets, MCP, streaming APIs, event-driven architectures, authentication and authorization, and persistence design.
- Deep expertise in retrieval systems, embedding search, hybrid retrieval, metadata filtering, reranking, agentic search, and retrieval quality optimization.
- Experience with cloud infrastructure such as AWS, GCP, or Azure; Docker; Kubernetes; and CI/CD automation.
- Client-facing communication, discovery facilitation, technical product leadership, and a bachelor's degree in a related field.
Nice to have
- Experience deploying and operating AI/ML systems in large-scale enterprise environments.
- Experience in Media & Entertainment, digital media supply chains, enterprise content automation, or multimodal media processing.
- Experience working in consultant or engineer delivery pods and rapidly prototyping with Cursor, Codex, OpenCode, GitHub Copilot, or Claude Code.
Culture & Benefits
- Remote and hybrid work environments are supported for the role.
- Work with tight-knit teams focused on solving complex business problems through custom software.
- Collaborate directly with enterprise clients and executive stakeholders.
- is a 300+ person organization recognized as a Best Place to Work and a Great Place to Work.
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