Applied AI Engineer – Agentic Workflows

🕒 January 6

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Cohere

Cohere

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

• 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.

🎯 Requirements

• 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. • Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows (e.g. ReAct), and failure handling. • Ability to reason about and balance trade-offs between customization and reuse, as well as autonomy, control, cost, latency, and risk. • Strong communication skills and experience leading technical discussions with customers or partners.

🏖️ Benefits

• 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!)

Apply Now

Similar Jobs

🕒 January 6

Prompt Therapy Solutions Inc

11 - 50

⚕️ Healthcare Insurance

⚡ Productivity

☁️ SaaS

Senior AI Engineer developing healthcare software and AI tools at Prompt, a mission-driven startup. Collaborating across teams to create end-to-end AI systems for healthcare solutions.

AWS

Docker

EC2

Python

🕒 January 6

Prompt Therapy Solutions Inc

11 - 50

⚕️ Healthcare Insurance

⚡ Productivity

☁️ SaaS

Senior AI Engineer helping develop AI initiatives in healthcare. Leading AI projects and building speech and language systems for rehabilitation therapy applications.

AWS

Docker

EC2

Python

🕒 December 21, 2025

Premera Blue Cross

1001 - 5000

⚕️ Healthcare Insurance

AI Engineer IV developing and leading complex AI/ML solutions for business challenges at Premera. Remote role focused on mentoring, guiding, and ensuring reliability of AI infrastructure.

Caffe

Cloud

Microservices

Numpy

Pandas

Python

PyTorch

Scikit-Learn

Tensorflow

🕒 December 18, 2025

Very Big Things

51 - 200

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Lead AI Engineer developing internal workflow automation platforms for enterprise clients at Very Big Things. Collaborating with leadership and deploying solutions enhanced with AI across customer organizations.

AWS

Azure

Cloud

Google Cloud Platform

JavaScript

Next.js

Node.js

Postgres

React

SQL

Terraform

TypeScript

🕒 December 18, 2025

Very Big Things

51 - 200

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Lead AI Engineer responsible for architecting and building an enterprise workflow automation platform. Collaborating with CEO and leadership while operating with technical autonomy in a remote role.

AWS

Azure

Cloud

Google Cloud Platform

JavaScript

Next.js

Node.js

Postgres

React

SQL

Terraform

TypeScript