4 дня назад
Senior Agentic Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Agentic Engineer (AI/JavaScript): Building production-grade AI-enabled applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products with an accent on agent harnesses, orchestration graphs, evaluation systems, and observability. Focus on designing reliable agent loops, implementing permissions and human controls, integrating enterprise systems, and diagnosing failure modes such as hallucinations, prompt injection, and unsafe actions.
Location: Toronto, Ontario, Canada
Company
is a digital innovation firm that helps organizations modernize technology platforms, build transformative digital products, and apply artificial intelligence to business challenges.
What you will do
- Partner with clients and internal teams to understand business objectives, workflows, technical environments, data, and operational constraints.
- Translate ambiguous business challenges into technical requirements, solution architectures, prototypes, and delivery plans.
- Design and build AI-enabled applications, agentic workflows, APIs, data pipelines, developer tools, and full-stack products.
- Engineer AI harnesses, agent loops, state graphs, tools, memory, permissions, runtime controls, observability, and feedback mechanisms.
- Create evaluation frameworks measuring task completion, accuracy, reliability, safety, latency, cost, and user value.
- Integrate solutions with enterprise systems, data sources, cloud platforms, and third-party services while troubleshooting complex client-environment issues.
Requirements
- Professional experience building and deploying production-grade software, including AI-powered or agentic systems.
- Strong proficiency in JavaScript, Node.js, TypeScript, and Python.
- Strong fundamentals in object-oriented programming, test-driven development, cloud deployment, APIs, distributed systems, databases, and modern software development.
- Experience with agent loops, graph-based orchestration, state machines, multi-step workflows, AI evaluation, monitoring, and failure diagnosis.
- Experience with AWS, Microsoft Azure, or Google Cloud, plus the ability to evolve prototypes into secure, maintainable production systems.
- Strong communication, product judgment, ownership, and customer-collaboration skills; ability to travel occasionally for client workshops or on-site delivery.
Nice to have
- Experience with agent frameworks, workflow engines, coding agents, custom model orchestration, tool interfaces, sandboxes, and human-in-the-loop controls.
- Familiarity with retrieval-augmented generation, embeddings, vector search, knowledge graphs, fine-tuning, and model routing.
- Experience with AI observability, adversarial testing, online experiments, production feedback, and multi-agent or multi-model systems.
- Experience with containers, Kubernetes, infrastructure as code, CI/CD, regulated enterprise environments, consulting, or solutions engineering.
Culture & Benefits
- Work on high-impact challenges across industries and technology domains.
- Build real products and production systems directly with clients.
- Collaborate with multidisciplinary teams that value experimentation, ownership, diverse perspectives, and continuous learning.
- Explore emerging approaches to AI, agentic systems, product development, and software delivery.
- Contribute to ’s evolving engineering practices and reusable technical patterns.
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