Cohere · 2 weeks ago
Applied AI Engineer – Agentic Workflows
Cohere is a fast-growing startup focused on scaling intelligence to serve humanity through AI systems. They are seeking an Applied AI Engineer to design, build, and deploy agentic workflows powered by Large Language Models for enterprise customers, ensuring reliability and performance while collaborating closely with clients and internal teams.
Artificial Intelligence (AI)Foundational AIGenerative AIMachine LearningNatural Language Processing
Responsibilities
Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies
Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows
Contribute to shared frameworks and patterns that enable consistent delivery across customers
Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance
Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions
Define and apply evaluation and quality standards to measure success, failures, and regressions
Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails
Mentor engineers across distributed teams
Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
Qualification
Required
Substantial experience building, shipping, and maintaining production-grade software (Python/TypeScript). You understand how to write clean, testable, observable and scalable code
Hands-on experience building agents that plan and execute multi-step tasks (ReAct, Plan-and-Execute) and interact with external APIs/tools
Deep familiarity with Frontier Models (GPT, Claude, Gemini), RAG, vector databases (Pinecone, Weaviate, etc.), and orchestration frameworks (LangGraph, CrewAI, or custom state machines)
Proven ability to move beyond 'trial and error' by building robust evaluation frameworks to measure agent accuracy, safety, and latency
Experience leading technical discussions with enterprise customers to translate ambiguous business needs into concrete technical specs
Experience mentoring distributed teams and setting the architectural standards for AI/Agentic systems
Strong written and verbal communication skills
Ability and interest to travel up to 25%, flexible
Benefits
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)
Company
Cohere
Cohere is an enterprise AI firm developing secure and private AI technology to address real-world business challenges.
H1B Sponsorship
Cohere has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (14)
2023 (13)
2022 (5)
2021 (2)
Funding
Current Stage
Late StageTotal Funding
$1.71BKey Investors
Business Development Bank of Canada,Nexxus Capital ManagementInovia Capital,Radical VenturesGovernment of Canada
2025-09-24Series D· $100M
2025-08-14Series D· $500M
2025-06-17Secondary Market
Recent News
2026-02-10
Company data provided by crunchbase