Forward Deployed Engineer, Agentic Platform (Singapore)

Cohere; Deutschland; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Cohere is seeking Applied AI Engineers in Germany to design, build, and deploy AI agents for enterprise workflows. You will work closely with customers to solve business problems using large language models (LLMs).

The role requires strong programming skills and hands-on experience with modern LLMs. Successful candidates will balance rapid iteration and quality standards while contributing to shared frameworks across teams.

Qualifikationen

• 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.
• Practical experience with RAG, agent workflows, evaluation, and performance optimization.

Aufgaben

• Turn business workflows into scalable, production-ready AI systems.
• Design and build LLM-powered agents with enterprise-grade reliability.
• Balance rapid iteration with enterprise requirements.
• Define and apply evaluation and quality standards.
• Debug real-world agent behavior and improve workflows.

Kenntnisse

Python programming

JavaScript/TypeScript programming

Experience with LLMs

Experience with RAG and agent workflows

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

LangChain

LangGraph

LlamaIndex

Jobbeschreibung

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.