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    Home/Jobs/Staff Software Engineer | Agentic Workflows

    Staff Software Engineer | Agentic Workflows

    Machinify

    United States
    6+ years
    Today
    ₹180–250 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    Java
    Python
    Scala
    workflow automation
    agents
    distributed systems
    pipelines
    unstructured data processing
    monitoring and observability tools
    Prometheus
    Grafana
    data structures
    asynchronous programming

    Description

    Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country.

    Company: Machinify

    Role: Staff Software Engineer | Agentic Workflows

    Location: Remote - US

    Experience:

    • 6+ years of software engineering experience
    • at least 2 years building agentic systems or AI-driven workflows in an enterprise setting

    Key Skills:

    • Java
    • Python
    • Scala
    • LLM prompt engineering
    • RAG
    • workflow automation
    • agents
    • multi-modal LLMs
    • context extraction
    • workflow orchestration frameworks
    • observability and logging
    • explainability of LLM outputs

    Qualification:

    • Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent practical experience)

    Role Focus:

    • Lead development of document processing pipelines
    • Design and implement agentic workflows
    • Evolve agentic ecosystem
    • Collaborate across teams to deliver robust, end-to-end AI-powered systems
    • Address critical infrastructure needs
    • Mentor and guide engineers on best practices

    Nice to have:

    • Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray)

    Other:

    • Top Medical/Dental/Vision offerings
    • FSA/HSA
    • Tuition reimbursement
    • Competitive salary, 401(k) with company match
    • Unlimited PTO
    • Additional health and wellness benefits and perks
    • Flexible and trusting environment
    • Meaningful equity

    Prepare for this role

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

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

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