Enable job alerts via email!

Agentic AI Engineer

Highmark Health

Colorado

Remote

USD 78,000 - 148,000

Full time

Today
Be an early applicant

Job summary

A healthcare technology firm in Colorado is looking for an AI/Generative AI & Agentic Systems Engineer to build intelligent systems that generate novel content, leveraging large language models and other generative techniques. The ideal candidate will have a strong foundation in software engineering, expertise in AI agents, and a minimum of 5 years' experience in software development. This position offers competitive pay, ranging from $78,900 to $147,500, and can be performed in-office or remotely.

Qualifications

  • 5 years' experience in Software Development (Python preferred).
  • 3 years' experience with large language models (LLMs).
  • 3 years' experience building and deploying AI agent systems.
  • 2 years' experience developing and deploying machine learning models.

Responsibilities

  • Design, develop, and deploy generative AI models.
  • Architect and build agentic systems with autonomous decision-making capabilities.
  • Integrate generative AI and agentic solutions into existing products.
  • Develop and maintain software infrastructure for AI/ML pipelines.
  • Conduct research and experimentation with generative AI techniques.

Skills

Proficient in Python and relevant AI/ML libraries
Experience in prompt engineering and fine-tuning LLMs
Knowledge of generative AI techniques and applications
Ability to design and implement agentic frameworks and architectures
Knowledge of grounding generative models with external knowledge sources
Familiarity with MLOps principles and tools for deployment
Understanding of security implications and mitigation strategies
Ability to stay up-to-date with AI advancements
Strong problem-solving and analytical skills
Excellent communication and collaboration skills

Education

Bachelor’s degree in Computer Science or related field
Master's degree in Computer Science or related field

Tools

Cloud Computing Platforms
Agentic frameworks (e.g., LangChain)
Job description
Overview

Company : Highmark Health

Job Title : AI/Generative AI & Agentic Systems Engineer

JOB SUMMARY

This role will build intelligent systems that generate novel content and data and exhibit autonomous decision-making and action-taking capabilities. It requires a strong foundation in software engineering to develop, integrate, and deploy advanced AI solutions. By leveraging large language models and other generative techniques, the role will create sophisticated AI agents capable of independent problem-solving and goal achievement to enhance operational efficiency and enable new product features.

ESSENTIAL RESPONSIBILITIES
  • Design, develop, and deploy generative AI models (e.g., LLMs, diffusion models)
  • Architect and build agentic systems with autonomous decision-making capabilities
  • Integrate generative AI and agentic solutions into existing products and services
  • Develop and maintain software infrastructure for AI/ML pipelines
  • Develop and implement data pipelines for training and evaluating AI models
  • Collaborate, document, monitor, and evaluate AI systems
  • Conduct research and experimentation with new generative AI and agentic techniques
  • Other duties as assigned or requested
EXPERIENCE

Required

  • 5 years' experience in Software Development (Python preferred)
  • 3 years' experience with large language models (LLMs)
  • 3 years' experience building and deploying AI agent systems or similar autonomous systems
  • 2 years' experience developing and deploying machine learning models in production

Preferred

  • 2 years' familiarity with Cloud Computing Platforms
  • 1 year experience with agentic frameworks (e.g., LangChain, AutoGPT, Semantic Kernel)
  • 1 year experience deploying AI models at scale in high-throughput, low-latency environments
SKILLS
  • Proficient in Python and relevant AI/ML libraries
  • Experience in prompt engineering and fine-tuning LLMs
  • Knowledge of generative AI techniques and applications
  • Ability to design and implement agentic frameworks and architectures
  • Knowledge of grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, knowledge graphs)
  • Familiarity with MLOps principles and tools for deployment and monitoring
  • Understanding of security implications and mitigation strategies for generative AI and agentic systems
  • Ability to stay up-to-date with AI advancements
  • 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 related field

Preferred

  • Master's degree in Computer Science, Information Science, Artificial Intelligence, Data Science, or related field
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

Disclaimer

The job description outlines the general nature and essential duties and responsibilities. It may not list all duties or qualifications required.

Compliance Requirement: This job adheres to ethical and legal standards and company policies. Employees may have access to confidential information and must comply with HIPAA, privacy policies, and information security guidelines. All employees must comply with the company’s Code of Business Conduct.

Pay Range

Pay Range Minimum: $78,900.00

Pay Range Maximum: $147,500.00

Base pay is determined by qualifications, experience, internal equity, market factors, and geographic location.

Highmark Health and its affiliates prohibit discrimination based on protected status and other categories under applicable law. We strive to make this site accessible to all users; for accessibility assistance, contact HR Services (HRServices@highmarkhealth.org).

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.