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    Home/Jobs/Lead AI Engineer, Agentic

    Lead AI Engineer, Agentic

    Ladders

    United States
    6+ years
    Today
    ₹108–151 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    LangChain
    Gen AI
    Embeddings
    hybrid retrieval
    OpenAI
    chunking
    agent orchestration
    Python
    FastAPI
    AWS Bedrock
    Kubernetes
    Docker
    CI/CD

    Description

    Lead AI Engineer role focusing on agentic and RAG systems in a Technical Services environment. Opportunity to influence architecture and technology capabilities for long-term growth.

    Company: Ladders

    Role: Lead AI Engineer, Agentic and RAG Systems

    Location: Remote - US based candidates only

    Experience:

    • 6+ years in software engineering
    • 3+ years in production LLM/agentic systems
    • 1+ years of experience leading engineers or technical teams

    Key Skills:

    • Python
    • FastAPI
    • LangChain
    • RAG pipelines
    • embedding
    • chunking
    • hybrid retrieval
    • AWS Bedrock
    • OpenAI
    • Kubernetes
    • Docker
    • CI/CD

    Role Focus:

    • Own the architecture of GenAI platforms across multiple teams
    • Define standards and reference implementations for GenAI platforms
    • Lead design of agent orchestration systems with best practices
    • Architect production RAG pipelines
    • Mentor engineers in execution of RAG pipelines
    • Drive design and delivery of Python/FastAPI services with established service standards
    • Define observability strategies for accuracy and cost evaluation
    • Manage deployment platforms on Docker and Kubernetes with CI/CD processes
    • Establish safety and governance practices for GenAI systems

    Other:

    • Opportunities for professional growth and technical mentorship
    • Engagement with innovative AI technologies in a production environment
    • Leadership role influencing direction across multiple teams
    • Exposure to enterprise-level projects with tangible business impact
    • Collaborative work culture partnering with engineering and executive stakeholders
    • Equal opportunity employer encouraging applications from diverse backgrounds

    Prepare for this role

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

    Python for Everybody Specialization

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    Coursera

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    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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