2 дня назад
AI Engineer Specialist (LLM)
96 000 - 132 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer Specialist (LLM): Designing, building, and deploying LLM-powered agents and AI applications for Nasdaq Lens with an accent on agent harnesses, context management, retrieval, evaluation, and production operations. Focus on deploying services in AWS, building data pipelines and API integrations, and maintaining the databases that keep agent knowledge accurate and current.
Location: Toronto, Canada; hybrid work with at least 3 days per week in the office
Base salary: $96,000–$132,000 annually, plus bonus or commission, equity, and benefits.
Company
operates financial technology and market infrastructure products, including Lens, an AI-powered platform.
What you will do
- Design, build, deploy, and operate LLM-powered agents and applications, from focused assistants to complex multi-step systems.
- Develop agent harnesses, context and memory management, retrieval, domain skills, summarization, and context isolation for reliable long-running tasks.
- Establish evaluation, tracing, and observability to measure, debug, and improve agent behavior.
- Deploy and run agents and services in AWS, using Amazon Bedrock AgentCore and infrastructure managed through Terraform.
- Build REST API and MCP integrations, work with CI/CD pipelines, and partner with product teams and clients to ship new capabilities.
- Maintain databases, queries, views, schemas, and data pipelines that keep agent knowledge and retrieval sources current.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or an equivalent qualification.
- 4–7 years of professional software engineering experience building and shipping production systems.
- Expert-level Python experience and strong knowledge of automation and orchestration frameworks.
- Hands-on experience with AI agent harness frameworks, retrieval systems, SQL, and relational databases.
- Experience with Git, CI/CD, REST APIs, MCPs, AWS deployment, and infrastructure-as-code practices.
- Strong analytical, systems-thinking, communication, and cross-functional collaboration skills; familiarity with fintech or regulated industries is preferred.
Culture & Benefits
- Product-oriented environment shipping new AI capabilities approximately every month.
- Direct collaboration with clients, product teams, engineering teams, and global colleagues.
- Competitive rewards package including annual bonus or commission, equity, comprehensive benefits, and growth opportunities.
- Inclusive workplace with reasonable accommodation available throughout the hiring process.
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