Why This Job is Featured on The SaaS Jobs
Applied AI Engineer roles focused on agentic workflows sit at the intersection of two major SaaS shifts: embedding generative AI into core product experiences and operationalising those capabilities for enterprise use. This listing stands out because it is explicitly about taking LLM-driven agents beyond demos—into systems that must be observable, safe, and auditable when deployed for business-critical workflows. That emphasis reflects how modern SaaS platforms are increasingly judged: not on novelty, but on reliability under real customer constraints.
From a SaaS career perspective, the work maps closely to skills that travel across product-led and enterprise-led companies: translating ambiguous customer workflows into repeatable technical patterns, building evaluation loops to prevent regressions, and balancing cost/latency/risk trade-offs that show up in every scaled AI feature. Experience integrating models with tools, APIs, and data sources also mirrors the broader SaaS move toward orchestration layers rather than standalone “AI features.”
This role is best suited to engineers who prefer end-to-end ownership, enjoy debugging behaviour in production-like environments, and are comfortable collaborating directly with customers and internal platform teams. It fits someone who wants to specialise in applied LLM systems engineering—where delivery quality, measurement, and operational discipline matter as much as model capability.
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
Work with enterprise customers and internal teams to turn business workflows into scalable, production-ready agentic AI systems.
Design and build LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability.
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.
Contribute to shared frameworks and patterns that enable consistent delivery across customers.
Required Skills & Experience
Bachelor’s degree in Computer Science or a related technical field.
Strong programming skills in Python and/or JavaScript/TypeScript.
3+ years of experience building and shipping production software; 2+ years working with LLMs or AI APIs.
Hands-on experience with modern LLMs (e.g., GPT, Claude, Gemini), vector databases, and agent/orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, or custom solutions).
Practical experience with RAG, agent workflows, evaluation, and performance optimization.
Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows (e.g. ReAct), and failure handling.
Ability to reason about and balance trade-offs between customization and reuse, as well as autonomy, control, cost, latency, and risk.
Strong communication skills and experience leading technical discussions with customers or partners.
Nice-to-Have
Experience working in a fast-moving startup environment.
Prior work delivering AI or automation solutions to enterprise customers.
Familiarity with human-in-the-loop workflows, fine-tuning, or LLM evaluation techniques.
Experience with cloud deployment and production operations for AI systems.
Background in applied ML, NLP, or decision systems.
Additional Requirements
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!)
