2 дня назад
Senior AI 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
Senior AI Engineer (LLM/RAG): Design and ship customer-facing AI features, including LLM-powered workflows, retrieval systems, and production AI agents, with an accent on reliable production systems, APIs, and model evaluation. Focus on building agentic backends, optimizing reliability, latency, cost, and observability, and supporting production incidents.
Location: Brazil
Company
delivers technology services and customer-facing digital solutions across multiple industries.
What you will do
- Design and ship LLM-powered product features, AI workflows, and production agents for end customers.
- Build and operate retrieval pipelines, tool integrations, external API integrations, and agentic backends.
- Own production quality through testing, monitoring, debugging, observability, and iterative improvement.
- Partner with product and engineering to turn user problems into practical AI implementations.
- Improve the reliability, latency, cost efficiency, and observability of AI services.
- Contribute reusable components and engineering patterns, support incidents, and participate in on-call rotations.
Requirements
- Experience building and shipping production AI or ML features for customer-facing products.
- Hands-on experience with production LLM systems, including prompting, RAG, evaluation, guardrails, and cost/latency trade-offs.
- Experience building multi-step AI workflows or agents using tools, retrieval, and external APIs.
- Strong software engineering skills in Python, cloud systems, Docker, Kubernetes, and CI/CD.
- Knowledge of ML fundamentals, practical model evaluation, API design, backend services, testing, reliability, and incident debugging.
- Ability to work independently and drive features from design through production.
Nice to have
- Experience with LangGraph, LangChain, LlamaIndex, vector search, embeddings, reranking, or semantic retrieval.
- Experience with Bedrock, SageMaker, Vertex AI, or similar managed AI platforms.
- Experience optimizing inference quality, latency, and cost in production.
- Experience mentoring engineers or owning technically complex projects.
- Knowledge of distributed systems, data pipelines, and performance tuning.
Culture & Benefits
- Culture is shaped and built by the people working at .
- Emphasis on being heard, empowered, and taking ownership of the work.
- Production support includes participation in on-call rotations.
Hiring process
- Applications are reviewed against the role requirements.
- If there is a match, the recruiting team aims to reach out within two business days.
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