# Forward Deployed Engineer, Agentic Platform

**Company:** [Cohere](https://hotfix.jobs/companies/cohere)
**Location:** Europe, Brussels, Belgium, Munich, Germany, London, United Kingdom, Edinburgh, United Kingdom, Paris, France, Berlin, Germany, Frankfurt, Germany
**Role:** Solutions Architecture
**Skills:** Python, LLMs, Retrieval-Augmented Generation, React, Plan-And-Execute, Vector Databases, Orchestration Frameworks, Evaluation Frameworks, Frontend Development, APIs
**Posted:** 2026-05-12

> Build and deploy production-grade LLM agents and workflows for enterprise customers, integrating tools, APIs, and sensitive data sources. The role combines software engineering, customer-facing technical leadership, end-to-end solution ownership, and enterprise reliability, safety, and auditability.

## Job Description

## Responsibilities
- Translate ambiguous enterprise business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies.
- Design, build, and deliver LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources.
- Build and ship features for North across the full product lifecycle, from conceptualization through production.
- Own use cases end to end, adapting to the technical area required, including frontend development.
- 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.
- Work directly with enterprise customers and partners; travel up to 20–40% for on-site engagements.

## Requirements
- Hands-on experience building and deploying production-grade software in Python.
- Experience writing clean, testable, observable, and scalable code.
- Experience building and deploying performant retrieval-augmented generation (RAG) and agentic applications.
- Experience developing agents that plan and execute multi-step tasks using patterns such as ReAct or Plan-and-Execute.
- Strong familiarity with the LLM stack, including frontier models, vector databases, and orchestration frameworks.
- Experience building robust evaluation frameworks to measure agent accuracy, safety, and latency.
- Experience working directly with customers and leading technical discussions with enterprise stakeholders.
- Ability to translate ambiguous business needs into concrete technical specifications.
- Experience owning the full scope of a use case end to end.
- Ability to execute effectively in fast-paced, ambiguous environments with shifting priorities.

## Nice-to-haves
- Experience setting architectural standards for AI and agentic systems across distributed teams.
- Ability to work in unfamiliar technical areas, such as frontend development, when needed.
- Exposure to regulated or sensitive industries, including finance, healthcare, or telecommunications.
- Experience with enterprise security, compliance, or auditability requirements for AI systems.

## Compensation and Benefits
- Weekly lunch stipend of $75/£75 or equivalent in local currency.
- Full health and dental benefits, including a separate mental health budget.
- RRSP matching, 401(k), or pension scheme, depending on location.
- Up to six months of 100% parental leave top-up for either parent.
- Annual enrichment benefits for arts and culture, fitness and wellness, quality time, and workspace improvements.
- Education and learning stipend for conferences, courses, and coaching.
- Six weeks of paid vacation (30 working days).
- Budget for travel to other offices for remote employees and an annual company offsite.
- Coworking benefit for employees not near an office.
- $500 home office stipend.

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