Applied AI Engineer – Agentic Workflows jobs in United States
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Cohere · 6 days ago

Applied AI Engineer – Agentic Workflows

Cohere is a fast-growing startup focused on scaling intelligence to serve humanity through AI systems. They are seeking an Applied AI Engineer to design, build, and deploy agentic workflows powered by Large Language Models for enterprise customers, ensuring reliability and business value in real-world applications.

Artificial Intelligence (AI)Foundational AIGenerative AIMachine LearningNatural Language Processing
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

PythonJavaScript/TypeScriptLarge Language ModelsAgent workflowsPerformance optimizationPrompt engineeringCommunication skillsTeam collaboration

Required

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
Strong written and verbal communication skills
Ability and interest to travel up to 25%, flexible

Preferred

Experience working in a fast-moving startup environment
Prior work delivering AI or automation solutions to enterprise customers
Familiarity with human-in-the-loop workflows, fine-tuning, or LLM evaluation techniques
Experience with cloud deployment and production operations for AI systems
Background in applied ML, NLP, or decision systems

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!)

Company

Cohere

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Cohere is an enterprise AI firm developing secure and private AI technology to address real-world business challenges.

H1B Sponsorship

Cohere has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (14)
2023 (13)
2022 (5)
2021 (2)

Funding

Current Stage
Late Stage
Total Funding
$1.71B
Key Investors
Government of CanadaTiger Global ManagementIndex Ventures
2025-09-24Series D· $100M
2025-08-14Series D· $500M
2025-06-17Secondary Market

Leadership Team

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Aidan Gomez
cofounder + ceo
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Ivan Zhang
Co-Founder
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Company data provided by crunchbase