обновлено 11 дней назад
Senior AI Engineer (Platform Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Platform Engineering) (AI/RAG): Design, build, and deploy production-grade agentic AI applications, autonomous workflows, and Retrieval-Augmented Generation solutions with an accent on LLM frameworks, vector databases, enterprise integrations, and cloud-native platforms. Focus on optimizing retrieval quality, agent reliability, observability, security, latency, accuracy, and cost while building reusable tools and integrations.
Location: Halifax, Canada
Company
's Global Technology Solutions division builds scalable and secure platforms and services for patients, providers, partners, and employees.
What you will do
- Design, build, and deploy AI agents and agentic workflows for business and engineering challenges.
- Develop production AI applications using LLMs, Retrieval-Augmented Generation, vector databases, embeddings, tool calling, and orchestration patterns.
- Improve retrieval quality and response accuracy through chunking, metadata enrichment, hybrid search, reranking, evaluation, and continuous improvement.
- Integrate AI solutions with GitHub, Jira, Confluence, Datadog, Slack, Kubernetes, and internal APIs.
- Build reusable connectors, tools, and agent capabilities for cross-platform information retrieval and actions.
- Establish testing, evaluation, observability, security, and governance practices while monitoring production performance, reliability, latency, accuracy, and cost.
Requirements
- 5+ years of experience in software engineering, platform engineering, or cloud engineering.
- Hands-on experience building AI applications with LangGraph, Strands Agents, OpenAI Agents SDK, or similar agent orchestration frameworks.
- Strong programming skills in TypeScript, Go, and/or Python.
- Experience designing microservice applications and integrating APIs with enterprise systems.
- Production experience building AI applications with LLMs.
- Strong understanding of RAG, vector databases, embeddings, tool calling, structured outputs, context engineering, agent orchestration, AI evaluation, and observability.
Nice to have
- Experience building AI copilots, digital assistants, or autonomous agents.
- Experience with OpenSearch, Langfuse, Datadog LLM Observability, MCP servers, Kubernetes, and cloud-native platforms.
- Experience integrating AI solutions with GitHub, Jira, Slack, Datadog, Confluence, or similar enterprise platforms.
Culture & Benefits
- Work in a challenging, supportive, and inspiring environment.
- Contribute to a diverse and inclusive culture that encourages individual expression.
- Help create innovative technology intended to improve health and well-being.
- Build solutions aligned with global standards, scalability, security, and measurable operational outcomes.
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