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Agentic AI Engineer Job Opening In USA, USA – Now Hiring Highmark Health


Job description

Description

JOB SUMMARY

This role would build intelligent systems that not only generate novel content and data but also exhibit autonomous decision-making and action-taking capabilities.

This role requires a strong foundation in software engineering principles to effectively develop, integrate, and deploy these advanced AI solutions.

By leveraging large language models and other generative techniques to create sophisticated AI agents capable of independent problem-solving and goal achievement, this role will be instrumental in developing cutting-edge intelligent applications that will significantly enhance our operational efficiency and create novel product features.


ESSENTIAL RESPONSIBILITIES

  • Designing, developing, and deploying generative AI models (e.g., LLMs, diffusion models)

  • Architecting and building agentic systems with autonomous decision-making capabilities

  • Integrating generative AI and agentic solutions into existing products and services

  • Developing and maintaining the software infrastructure required for AI/ML pipeline

  • Developing and implementing data pipelines for training and evaluating AI models

  • Collaboration, Documentation, Monitoring & Evaluation of AI Systems

  • Conducting research and experimentation with new generative AI and agentic techniques

  • Other duties as assigned or requested

  • EXPERIENCE

    Required

  • 5 years' experience in Software Development experience (Python preferred)

  • 3 years' experience working with large language models (LLMs)

  • 3 years' experience in Building and deploying AI agent systems or similar autonomous systems

  • 2 years' experience in Developing and deploying machine learning models in production


  • Preferred

  • 2 years' Familiarity with Cloud Computing Platforms

  • 1 year experience working with specific Agentic Frameworks (like LangChain, AutoGPT,Semantic Kernel, etc..)

  • 1 year experience in Deploying AI models at scale in high-throughput, low-latency environments

  • SKILLS

  • Proficient in Python and relevant AI/ML libraries

  • Significant experience in prompt engineering and fine tuning LLM models

  • Knowledge and experience in different generative AI techniques and their applications

  • Ability to design and implement agentic frameworks and architectures

  • Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc..)

  • Familiarity with MLOps principles and tools for model deployment and monitoring

  • Understanding of the security implications and mitigation strategies for generative AI and agentic systems

  • Ability to stay up-to-date with the latest advancements in AI and generative models

  • Strong problem-solving and analytical skills

  • Excellent communication and collaboration skills

  • EDUCATION

    Required

  • Bachelor’s degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees.


  • Preferred

  • Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science or similar degrees


  • LICENSES or CERTIFICATIONS

    Required

  • None


  • Preferred

  • Google Cloud Professional Machine Learning Engineer


  • Language (Other than English):

    None

    Travel Required:

    Less than 25%

    PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS

    Position Type

    Office-Based or Remote Position

    Physical work site required

    Never

    Pay Range Minimum:

    $78,900.00

    Pay Range Maximum:

    $147,500.00

    Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.

    We endeavor to make this site accessible to any and all users.

    If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.

    For accommodation requests, please contact HR Services Online at

    Required Skill Profession

    Computer Occupations


    • Job Details

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