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    Home/Jobs/Generative AI Integration Engineer

    Generative AI Integration Engineer

    Anduril Industries

    Costa Mesa / California
    3-5 years
    Today
    ₹80–106 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Python
    Java
    Go
    C/C++
    Machine Learning
    AI
    MLOps

    Description

    Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. The company is looking for a Generative AI Integration Engineer to design, implement, and evolve the means by which Agents interact with classical software systems.

    Company: Anduril Industries

    Role: Generative AI Integration Engineer

    Location: Costa Mesa, California, United States

    Experience:

    • Demonstrated deep knowledge of the implementation and use of LLM’s
    • Experience integrating agents into classical systems
    • Experience with simulation or real-world validation for autonomous vehicles is highly desirable
    • Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar)
    • General software engineering experience solving motion planning or related robotics problems

    Key Skills:

    • Python
    • Java
    • Go
    • LLM’s
    • AI
    • Machine Learning
    • Robotics
    • Computer Science
    • C/C++
    • ML Ops

    Qualification:

    • PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience

    Role Focus:

    • design, implement, and evolve the means by which Agents interact with classical software systems
    • contribute to test and eval infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques
    • increase the performance and quality of agentic interaction patterns
    • expand the surface area by which Agents can interact with the overall Lattice system

    Nice to have:

    • Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community
    • Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines
    • Familiarity with C/C++ is a plus

    Other:

    • US Salary Range: $191,000 - $253,000 USD
    • Highly competitive equity grants are included in the majority of full time offers
    • top-tier benefits for full-time employees, including comprehensive, competitive benefits package (available at little to no cost to employees)

    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.

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

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