7 часов назад
AI/ML Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Engineer (LLMs/RAG): Building and deploying secure, scalable production AI applications with an accent on LLMs, retrieval-augmented generation, prompt engineering, and multi-agent systems. Focus on orchestrating LangGraph and LangChain agents, building ETL and data pipelines, integrating REST APIs and SDKs, and deploying solutions across secure cloud AI environments.
Location: Remote
Company
is an IT consulting company working on secure, scalable technology solutions.
What you will do
- Design, implement, and optimize production AI/ML solutions using LLMs, RAG, and prompt engineering.
- Develop and orchestrate multi-agent systems with LangGraph, LangChain, and tool-use workflows.
- Deploy AI solutions across AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
- Build ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
- Develop REST APIs and SDK integrations while collaborating with product, security, and engineering teams.
- Apply secure coding, DevOps, and CI/CD practices and document technical decisions.
Requirements
- Strong Python proficiency for AI/ML development, REST APIs, and SDK integrations.
- Production experience with LLMs, RAG, and prompt engineering.
- Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
- Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
- Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
- Strong understanding of secure coding and CI/CD practices, with excellent written and verbal communication skills.
Nice to have
- Experience with Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
- Knowledge of MCP, metadata catalog platforms, and advanced API development.
- Experience in government, regulated, or security-sensitive cloud environments.
- Familiarity with relevant compliance and security standards.
Culture & Benefits
- Work on mission-critical AI initiatives and proprietary AI infrastructure.
- Collaborate with product, security, and engineering stakeholders.
- Work in secure cloud environments designed for regulated and security-sensitive use cases.
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