2 часа назад
AI Engineer (Digital Products & AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Digital Products & AI) (AI/Cloud): Building production-grade AI applications, agentic systems, retrieval pipelines, and modernized enterprise platforms with an accent on architecture, guardrails, integrations, and operational resilience. Focus on designing tool selection, memory and context management, human-in-the-loop controls, and secure deployment while delivering solutions directly with clients.
Location: Charlotte, North Carolina, USA; hybrid work with at least 2 days per week in the office or on a client site, and up to 5 days per week on a client site depending on the assignment
Company
is a consulting firm combining strategy, technology, design, science, engineering, and digital expertise to help organizations transform across multiple industries.
What you will do
- Design and build production AI applications, digital products, AI agents, intelligent workflows, and modernized enterprise platforms.
- Architect AI solution components including tool selection, memory and context management, guardrails, and human-in-the-loop controls.
- Build and deploy retrieval pipelines, MCP services, integrations, and systems connecting AI capabilities with enterprise data and processes.
- Design security and operational resilience through access controls, identity management, deployment guardrails, and oversight of automated actions.
- Work directly with clients and multidisciplinary teams from discovery through deployment, shaping scope, sequencing, and implementation approaches.
- Create reusable patterns, skills, and tooling for future engagements.
Requirements
- Experience designing, building, and operating complex production software; client-facing technical delivery experience is expected at senior levels.
- Strong software engineering skills, ideally including Python and TypeScript.
- Experience designing and delivering cloud-native systems on AWS, Azure, or GCP.
- Hands-on experience building production AI applications and agent-based systems, including orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
- Experience building retrieval-enabled systems with technologies such as pgvector, Elasticsearch, or OpenSearch.
- Experience integrating applications with enterprise systems, data platforms, APIs, identity providers, and MCP-enabled services, with strong communication and technical judgment.
Nice to have
- Experience in consulting, professional services, or as a technical founder.
- Experience in healthcare and life sciences, manufacturing, energy and utilities, transportation, or consumer industries.
- Experience building reusable platforms, tooling, or AI solutions in regulated environments.
Culture & Benefits
- Work alongside Product Strategists and Data Engineers in multidisciplinary teams.
- Medical, dental, vision, long-term care, and income protection benefits.
- 401(k) savings plan with company profit-sharing contribution.
- 15 paid vacation days, the option to buy 5 additional days, 10 paid holidays, and 10 paid sick days.
- Health, gym, commuter, parking, pet, legal, and employee assistance benefits.
- Annual performance-based bonus and support for professional growth.
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