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    Home/Jobs/Senior Software Engineer, AI

    Senior Software Engineer, AI

    ImmunityBio, Inc.

    El Segundo
    7+ years
    Today
    ₹16–18 LPA
    Full-time
    Remote

    Skills Required

    LangChain
    LlamaIndex
    Vector Database
    Python
    TypeScript
    CrewAI
    LangGraph
    Docker
    FastAPI
    async/await
    Chroma
    Milvus
    Weaviate
    Qdrant

    Description

    Senior Software Engineer, AI role at ImmunityBio, Inc., a commercial-stage biotechnology company developing cell and immunotherapy products.

    Company: ImmunityBio, Inc.

    Role: Senior Software Engineer, AI

    Location: Remote or El Segundo, CA

    Experience:

    • 7+ years of relevant software development experience
    • 3+ years of hands-on Python development experience
    • 3+ years of hands-on Typescript development experience
    • Experience with at least one AI agent framework (LangGraph, LangChain, CrewAI, or LlamaIndex) in a production or near-production setting
    • Experience building and running containerized applications with Docker

    Key Skills:

    • Python 3.12+
    • Typescript
    • LangGraph
    • LangChain
    • CrewAI
    • LlamaIndex
    • FastAPI
    • Docker
    • AI agent frameworks
    • orchestration patterns
    • context-management strategies
    • data analytics
    • monitoring
    • observability tooling
    • API design principles
    • error handling patterns
    • security best practices

    Qualification:

    • Bachelor's degree in Computer Science, Software Engineering, or a related field

    Role Focus:

    • Design, develop, maintain, and deploy AI agent systems
    • Implement comprehensive testing strategies for agents and services
    • Build and enforce guardrails for AI interactions
    • Design secure tool execution patterns
    • Implement agent observability
    • Design and build agent evaluation sets, adversarial tests, regression tests, and monitoring for safety/quality drift
    • Consult and collaborate with SMEs across Platform Engineering, Data Science, Security, Quality, and Product

    Additional responsibilities:

    • Lead the creation, modification, and maintenance of AI system documentation
    • Influence functional groups regarding operability, technical feasibility, engineering design, security posture, maintainability, and project schedule and documentation requirements
    • Assist with the planning and implementation of AI agent-based projects and solutions
    • Lead containerized deployment, start-up, commissioning, and release qualification activities
    • Provide technical mentoring and oversight to less experienced engineers
    • Monitor agent performance and reliability, collect metrics and logs, and use data to identify and prioritize optimization opportunities

    Nice to have:

    • Experience with complex troubleshooting and system optimization in a regulated or enterprise environment
    • Experience working within an organization with formal change control, compliance, or audit requirements

    Other:

    • Competitive total rewards benefits package, including Medical, Dental and Vision Plan Options, Health and Financial Wellness Programs, Employer Assistance Program (EAP), Company Paid and Voluntary Life/AD&D, Short-Term and Long-Term Disability, Healthcare and Dependent Care Flexible Spending Accounts, 401(k) Retirement Plan with Company Match, 529 Education Savings Program, Voluntary Legal Services, Identity Theft Protection, Pet Insurance and Employee Discounts, Rewards and Perks, Paid Time Off (PTO)
    • Eligible for a discretionary bonus and equity award
    • Annual base pay range: $153,000 (entry-level qualifications) to $170,000 (highly experienced) annually (National Market) or $162,000 (entry-level qualifications) to $180,000 (highly experienced) annually (Premium Market)

    Prepare for this role

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

    Python for Everybody Specialization

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    Python 3 Programming Specialization

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

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

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