Why This Job is Featured on The SaaS Jobs
### Why this Role is Featured on The SaaS Jobs
Applied AI Engineer roles focused on agentic workflows sit at the intersection of modern SaaS product delivery and the emerging enterprise standard for AI features. This position stands out because it is explicitly tied to production deployment, where LLM agents must integrate with real tools, APIs, and data sources and still meet operational expectations like observability, safety, and auditability. In the SaaS ecosystem, that combination signals work that moves beyond demos into repeatable, customer-facing capability.
From a career standpoint, the role builds durable SaaS experience in taking ambiguous customer problems and turning them into shipped systems with measurable outcomes. It also offers exposure to the full lifecycle that matters in AI-enabled SaaS: evaluation design, failure analysis, iterative improvement, and post-launch operation. These are transferable patterns for teams building RAG, semantic search, and workflow automation across industries.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Who are we?
Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.
Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role?
We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Applied AI Engineers who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs)—from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.
In this role, you’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale.
What you'll do
Customer-Facing Technical Impact
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.
Agent Design, Build and Production launches
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.
Team Mentorship & Organizational Impact
Mentor engineers across distributed teams.
Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization.
Contribute to shared frameworks and patterns that enable consistent delivery across customers.
Required Skills & Experience
Technical Foundations
Demonstrated ability to build, ship, and operate production-grade software systems.
Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications.
Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling.
Strong proficiency in Python and/or JavaScript/TypeScript.
Experience and Leadership
Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs.
Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems.
Additional Requirements
Strong written and verbal communication skills.
Fluency in English and Korean language.
Ability and interest to travel up to 25%, flexible.
Why Join Us
Build production-grade AI agents used in real enterprise workflows.
Operate at scale while retaining end-to-end ownership.
Work on hard problems in agent design, evaluation, and reliability.
Shape shared platforms and standards, not just individual features.
Move fast with a high bar for quality, safety, and reliability.
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
🤝 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!)
