Software Engineer

Join to apply for the Software Engineer - Applied ML (US/CAN) role at Cohere. 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 are looking for a skilled Applied AI Software Engineer to join our Applied ML team, supporting the development and deployment of custom LLMs and AI agents. In this role, you will work directly with our customers and collaborate closely with machine learning teams and platform teams to deliver impactful LLM-based enterprise solutions. This is a unique opportunity to work at the cutting edge of AI technologies, including RAG systems, agent frameworks, and modern LLM tooling to disrupt some of the most important industries and institutions globally What You’ll Do Design and build Agentic AI applications, including RAG systems, to deliver high business value customer use‑cases. Design, build and maintain data generation and evaluation pipelines to power custom LLM model development. Develop backend services and APIs to support ML/LLM workflows at scale. Collaborate with ML engineers on model deployment, evaluation, and experiment tracking. Ensure adherence to software engineering best practices: design, coding, testing, CI/CD, observability, and version control. Deploy and monitor applications on cloud and containerized infrastructure (Docker, Kubernetes). Join us at a pivotal moment, shape what we build and wear multiple hats What You’ll Bring Required LLM & Agent Development: LLM evaluation fundamentals, data pipelines, RAG systems, and Agent development (MCP, LangChain/LlamaIndex). Software Engineering: API design, scalable services, databases, testing, CI/CD, observability, and version control. ML/LLM Tooling & Infrastructure: HuggingFace, W&B, Docker, and Kubernetes. Programming Languages: Proficiency in Python for application development, data processing, and ML/LLM integration. Nice-to-have Vector databases (Pinecone, Weaviate, FAISS, Milvus) Cloud platforms (AWS, GCP, Azure) LLM architectures and fine‑tuning recipes (SFT, DPO, LoRA) LLM runtimes & libraries (vLLM, Transformers) MLOps and experiment tracking (MLflow or similar) Evaluation frameworks (LM Evaluation Harness, RAGAs, TruLens) Go or JavaScript/TypeScript for backend or agent tooling Applied NLP (SpaCy, NLTK, HuggingFace Datasets/Tokenizers) Additional Requirements Strong written and verbal communication skills. Ability and interest to travel up to 25%, flexible. Why Join Us Work on cutting‑edge AI and LLM technology. Collaborate with a highly‑skilled team of ML experts and product engineers. Opportunities for rapid professional growth. Help shape the future of enterprise advantage globally 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) #J-18808-Ljbffr