Перейти к основному содержимому
Coderio

Senior IA Engineer

УдалённоArgentina только
Опубликовано
Роль
Не указано
Опыт
Синьор
Зарплата не указана
Проверьте доступность

Доступно для: AR only. Укажите, откуда вы работаете, чтобы проверить доступность.

Коротко по делу

Senior AI Engineer to join AI Engineering Core initiatives, building shared AI foundations, LLM gateways, model routing, evaluation frameworks, and guardrails. Hands-on role designing, benchmarking, and deploying production-grade AI capabilities and agentic workflows.

Ключевые навыки

Python/RESTful APIs/async APIs/microservices/AWS/GCP

Обязательные навыки

LLMs/RAG pipelines/LangGraph/CrewAI/Model Context Protocol (MCP)LLM proxies/gateways/model routing/evaluation harnesses/LangSmith/Datadog/Logfire

Желательные навыки

DockerKubernetesTerraformInternal Developer Platforms (IDP)developer toolingprompt engineering optimizationfine-tuning open-source modelscustom vector database indexing

Обязательные языки

English advanced

Чем предстоит заниматься

  • Design, implement, and operate production-grade, reusable AI capabilities and services adopted by multiple engineering and product teams.
  • Build and evolve LLM gateways, proxies, model routing mechanisms, prompt/context strategies, and agentic workflows (e.g., LangGraph, PydanticAI, MCP).
  • Design evaluation frameworks (golden sets, LLM-as-a-judge), guardrails, and observability pipelines to measure task success, latency, security, and token costs.
  • Define standards for production AI adoption across the organization, including automated testing, versioning, context segregation, and incident response.
  • Own delivery end-to-end—from problem framing and architectural design through implementation, deployment, monitoring, and continuous iteration.
  • Identify high-impact opportunities to eliminate repetitive manual work by implementing internal tools, scripts, and intelligent workflows that boost developer velocity.

Что требуется

  • Senior-level experience (typically 5+ years) delivering and operating production-grade systems in Software Engineering, AI Engineering, or ML Engineering.
  • Advanced hands-on proficiency in Python, RESTful/async APIs, microservices, and cloud services (AWS or GCP).
  • Proven experience building reliable applications using LLMs, RAG pipelines, agent orchestration (e.g., LangGraph, CrewAI), and Model Context Protocol (MCP).
  • Hands-on experience with LLM proxies/gateways, model routing, evaluation harnesses, and AI observability tools (e.g., LangSmith, Datadog, Logfire).
  • Ability to make sound architectural decisions balancing quality, latency, reliability, security, privacy, scalability, and cost.
  • Advanced English proficiency (mandatory) with clear communication skills to collaborate effectively with cross-functional technical stakeholders.

Преимущества

  • High-impact, strategic role driving shared AI foundations and internal developer adoption.
  • Collaborative international environment with senior technical leadership.
  • High autonomy to research, prototype, and implement cutting-edge GenAI workflows.
  • Long-term 100% remote engagement with competitive compensation and growth opportunities.
Technology
Зарплата не указана