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    Home/Jobs/Applied AI Engineer – Agentic Workflows

    Applied AI Engineer – Agentic Workflows

    Cohere

    San Francisco / London / Montréal / New York / Toronto
    3-5 years
    Today
    ₹13–25 LPA
    Full-time
    Remote

    Skills Required

    GPT
    Claude
    Gemini
    RAG
    Python
    TypeScript
    React
    Plan-and-Execute
    Pinecone
    Weaviate
    LangGraph
    CrewAI

    Description

    Cohere is looking for an Applied AI Engineer to work on agentic workflows powered by Large Language Models (LLMs). The ideal candidate will have experience building production-grade software and agents that integrate LLMs with tools, APIs, and data sources. Cohere offers a remote-flexible work environment with offices in Toronto, New York, San Francisco, London, and Paris.

    Company: Cohere

    Role: Applied AI Engineer – Agentic Workflows

    Location: San Francisco; London; Montreal; New York; Toronto | Remote

    Experience:

    • Substantial experience building, shipping, and maintaining production-grade software (Python/TypeScript)
    • Hands-on experience building agents that plan and execute multi-step tasks (ReAct, Plan-and-Execute) and interact with external APIs/tools
    • Experience leading technical discussions with enterprise customers to translate ambiguous business needs into concrete technical specs
    • Experience mentoring distributed teams and setting the architectural standards for AI/Agentic systems

    Key Skills:

    • Python
    • TypeScript
    • Large Language Models (LLMs)
    • Frontier Models (GPT, Claude, Gemini)
    • RAG
    • vector databases (Pinecone, Weaviate, etc.)
    • orchestration frameworks (LangGraph, CrewAI, or custom state machines)

    Role Focus:

    • Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies
    • Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows
    • Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance
    • Define and apply evaluation and quality standards to measure success, failures, and regressions
    • Mentor engineers across distributed teams
    • Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization

    Other:

    • 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 work environment with offices in Toronto, New York, San Francisco, London, and Paris, as well as a co-working stipend
    • 6 weeks of vacation (30 working days!)

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    LangChain Chat with Your Data

    Coursera

    Build RAG applications with LangChain — document loading, splitting, embeddings, and retrieval.

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