Forward Deployed Engineer, Agentic Platform (Singapore)

Stack

Responsibilities

• ▹Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
• ▹Lead the design, build and delivery of LLM-powered agents that reason, plan and act across tools, APIs and sensitive enterprise data sources, with enterprise-grade reliability and performance
• ▹Build and ship features for North, the AI workspace platform, across the full product lifecycle from conceptualisation through production
• ▹Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend)
• ▹Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
• ▹Drive clarity in ambiguous situations, build alignment and raise engineering quality across the organization
• ▹Travel up to 20-40% to work on-site with customers and partners

Requirements

• ▹Hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
• ▹You have built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
• ▹Deep familiarity with the LLM stack: frontier models, vector databases and orchestration frameworks
• ▹Proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety and latency
• ▹Experience working directly with customers; able to lead technical discussions with enterprise stakeholders and translate ambiguous business needs into concrete technical specs
• ▹Experience owning the full scope of a use case end-to-end

Nice to have

• ▹Experience setting architectural standards for AI and agentic systems across distributed teams
• ▹Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
• ▹Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
• ▹Experience with enterprise security, compliance or auditability requirements for AI systems

Soft skills

What we offer

• ▹Weekly lunch stipend of $75/£75 or the equivalent in local currency
• ▹Full health and dental benefits, including a separate mental health budget
• ▹RRSP matching, 401K, pension scheme
• ▹100% parental leave top-up for up to 6 months, for either parent
• ▹Annual enrichment benefits: arts and culture, fitness and wellness, quality time, workspace improvement credit
• ▹Education and learning stipend for conferences, courses and coaching
• ▹6 weeks of paid vacation (30 working days)
• ▹Budget for travelling to other offices if you are remote, plus an annual company offsite
• ▹Remote-friendly; co-working benefit for those not near an office
• ▹$500 home office stipend to set up your workspace
• ▹For those in the office: daily lunch program, plenty of snacks, regular community and social events

About the company

Cohere is a security-first enterprise AI company that builds cutting-edge foundation models and end-to-end products to solve real-world business problems. It is co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. North is Cohere's AI workspace platform: a secure, customizable environment that connects AI agents with workplace tools and applications while companies keep control over sensitive data.