6 дней назад
Senior AI Engineer
90 000 - 140 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (AWS/Generative AI): Building and operating enterprise-grade AI, machine learning, and generative AI applications on AWS with an accent on Amazon Bedrock, RAG pipelines, intelligent agents, and secure cloud architecture. Focus on designing production-ready AI platforms, implementing evaluation and governance controls, and optimizing reliability, performance, and cost.
Location: North York, Ontario, Canada; hybrid work from home or the office based on business and client needs.
Salary: CAD 90,000–140,000 per year.
Company
provides financial security and health-related services to individuals, families, and communities.
What you will do
- Design, develop, test, deploy, and operate enterprise AI, machine learning, and generative AI solutions on AWS.
- Build Amazon Bedrock applications using prompt engineering, RAG, tool use, intelligent agents, and workflow automation.
- Develop secure RAG pipelines covering ingestion, chunking, embeddings, indexing, retrieval, grounding, evaluation, and governance.
- Engineer serverless and containerized services using AWS Lambda, API Gateway, Step Functions, EventBridge, ECS, or EKS.
- Implement security, monitoring, tracing, evaluation, cost controls, CI/CD, infrastructure as code, and operational runbooks.
- Collaborate with architects, product owners, data engineers, security partners, and business stakeholders while mentoring junior team members.
Requirements
- Bachelor’s degree in computer science, software engineering, data science, or a related field, or equivalent practical experience.
- 5+ years of professional software engineering experience, including 3+ years building and operating solutions on AWS.
- Production experience delivering AI, machine learning, or generative AI solutions.
- Strong Python skills with experience designing RESTful APIs and event-driven services.
- Experience with Amazon Bedrock, core AWS services, RAG, AI agents, vector search, AWS security, CI/CD, infrastructure as code, and containerization.
- Reliability Status Clearance and satisfactory background checks are required before starting employment.
Nice to have
- Experience with Bedrock Knowledge Bases, Guardrails, Agents, AgentCore, or Amazon SageMaker.
- Experience with Amazon OpenSearch, PostgreSQL with pgvector, AWS Glue, PySpark, or analytics workloads.
- Experience developing interfaces with React or dashboards with Amazon QuickSight.
Culture & Benefits
- Hybrid flexibility based on business, client, and individual needs.
- Wellness programs supporting mental, physical, and financial health.
- Multiple career paths and networking opportunities.
- Inclusive workplace focused on employee well-being, development, and diverse perspectives.
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