Applied AI Engineer, Agents & Automations
Builds production-ready AI agent experiences, workflow interfaces, evaluation systems, and feedback loops for Cohere’s North enterprise AI platform. The role requires strong software engineering, product judgment, and experience shipping and improving LLM- or agent-powered products.
About the job
Responsibilities
- Build AI-powered product experiences that help users create, configure, evaluate, and improve workflows across North.
- Design and ship interfaces for interacting with models, including workflow builders, proactive assistants, review flows, and human-AI collaboration patterns.
- Build evaluation, observability, and feedback systems that measure success in real enterprise workflows.
- Improve AI reliability through product design, prompting, context construction, tool-use strategies, instrumentation, and feedback loops.
- Turn production failures, user feedback, and real-task data into improved product behavior, evaluation suites, regression tests, and modeling signals.
- Collaborate with modeling, product, design, customer teams, and domain experts to define success for specific workflows and ship measurable improvements.
- Determine whether a workflow needs a more constrained product experience, improved model interface, stronger evaluation, or deeper modeling investment.
Requirements
- Experience shipping LLM-powered, agent-powered, or AI-assisted product experiences into production and improving them based on real-world feedback.
- Strong software engineering skills across backend systems, user-facing products, data, evaluations, and model behavior.
- Ability to focus on user outcomes and system behavior, not only model metrics.
- Strong product judgment and care for how interfaces, workflows, and models work together.
- Ability to debug messy real-world failures and turn findings from production, user testing, and evaluations into durable improvements.
- Ability to own ambiguous problems end-to-end and work across system boundaries.
Compensation
- California, New York, and Washington State: $180,000–$260,000 USD
- Elsewhere in the United States: $150,000–$220,000 USD
- Canada: $215,000–$310,000 CAD
Benefits
- Weekly lunch stipend of $75/£75 or local equivalent.
- Full health and dental benefits, including a separate mental-health budget.
- RRSP matching, 401(k), or pension scheme.
- Up to six months of 100% parental-leave top-up for either parent.
- Annual enrichment benefits for arts and culture, fitness and wellness, quality time, and workspace improvements.
- Education and learning stipend for conferences, courses, and coaching.
- Six weeks of paid vacation.
- Travel budget for remote employees to visit other offices and an annual company offsite.
- Coworking benefit for employees who are not near an office.
- $500 home-office stipend.
Skills
LLMs, AI Agents, Software Engineering, Backend Systems, Prompt Engineering, Context Construction, Tool Use, Observability, Evaluation Frameworks, Regression Testing, Instrumentation, Workflow Builders, Product Design, Data Systems, Model Behavior
Similar jobs
Fullstack Engineering jobsBuild and own internal applications, integrations, and automations that improve sales, finance, billing, and company-wide workflows. The role requires strong product judgment, cross-functional communication, and hands-on experience shipping applications, APIs, and SQL integrations.
Build and own customer-facing product features across Descript’s editor, media, growth, monetization, and AI surfaces. The role requires 5+ years of full-stack product engineering experience, strong product judgment, and expertise with modern web technologies and experimentation.
Build and own core product capabilities for an AI workspace, spanning usability, reliability, performance, and user experience from concept through production. The role requires strong product engineering, an interest in AI models and design, and end-to-end ownership.
Build the agent harness that plans tasks, calls tools, uses memory, recovers from failures, and operates reliably at scale. The role requires strong reasoning about LLM behavior and the ability to translate it into robust infrastructure.
Build and lead full-stack, AI-powered software for government services using the Palantir stack and modern web technologies. The role requires 5+ years of engineering experience, active Top Secret or TS/SCI clearance, and the ability to work hybrid from New York City or Washington, DC.