Applied AI Engineer – Agentic Workflows
WFA Digital Insight
The demand for AI engineers has skyrocketed, with a 25% growth in job openings over the past year. As companies like Cohere pioneer the development of frontier models, the need for skilled professionals who can design and deploy AI systems has never been more pressing. With the ability to work remotely, this role offers the perfect blend of innovation and flexibility. Candidates should be prepared to showcase their expertise in production engineering, applied AI, and collaboration. Before applying, it's essential to understand the company's mission to scale intelligence and its commitment to diversity and excellence.
Job Description
About the Role
The Applied AI Engineer role at Cohere is an exceptional opportunity to join a fast-growing startup that's revolutionizing the way AI systems are built and deployed. As an Applied AI Engineer, you will be responsible for designing, building, and delivering production-grade AI agents for enterprise customers. You will work closely with customers to understand their business problems and develop tailored solutions that integrate Large Language Models (LLMs) with tools, APIs, and data sources.The role requires a unique blend of technical expertise, customer-facing skills, and collaboration. You will be part of a team that values diversity, excellence, and innovation, and is committed to shaping the future of AI. The company's mission to scale intelligence and serve humanity is at the forefront of everything they do, and you will have the opportunity to contribute to this mission and make a real impact.
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, and you will have the opportunity to learn from and collaborate with them.
What You Will Do
- 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
What We Are Looking For
- Substantial experience building, shipping, and maintaining production-grade software
- Strong foundation in applied AI, including Large Language Models (LLMs) and deep learning
- Experience with customer-facing technical work, including translating business problems into technical solutions
- Strong collaboration and communication skills, with the ability to work closely with customers, product, and platform teams
- Experience with agile development methodologies and version control systems
- Strong problem-solving skills, with the ability to debug complex technical issues
- Experience with cloud-based infrastructure and containerization
Nice to Have
- Experience with natural language processing (NLP) and computer vision
- Knowledge of DevOps practices and tools, such as Kubernetes and Docker
- Experience with data visualization and representation
Benefits and Perks
- Competitive compensation package
- Opportunity to work on cutting-edge AI technology
- Collaborative and dynamic work environment
- Flexible work arrangements, including remote work options
- Professional development opportunities, including training and conference attendance
- Access to the latest tools and technologies
- Recognition and reward for outstanding performance
How to Stand Out
- To stand out as an Applied AI Engineer candidate, be prepared to showcase your experience with Large Language Models (LLMs) and deep learning, as well as your ability to collaborate with customers and cross-functional teams.
- Make sure your portfolio includes examples of production-grade AI systems you've designed and deployed, and be prepared to walk the interviewer through your design and development process.
- When negotiating salary, consider the company's commitment to scaling intelligence and serving humanity, and be prepared to discuss how your skills and experience align with this mission.
- Pay attention to the company culture and values, and be prepared to ask questions about how they support diversity, excellence, and innovation.
- Be prepared to discuss your experience with agile development methodologies and version control systems, and how you've applied these in previous roles.
- Consider reaching out to current or former employees to get a sense of the company culture and what it's like to work as an Applied AI Engineer at Cohere.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.