AI/ML Engineer

Aimlroles

Malvern (AR)

Hybrid

USD 100,000 - 150,000

Full time

14 days+

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Job summary

Vanguard in Malvern, AR is seeking an experienced AI/ML engineer to design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks.

You will develop multi-agent workflows, build retrieval-augmented generation pipelines, and collaborate with senior engineers and data scientists on experiments, testing, and integration, in a hybrid work environment.

Qualifications

  • Bachelor's degree in computer science, ML, AI, or related field.
  • 5–8 years of experience in AI/ML engineering or software development.
  • Strong Python programming skills, experience with AWS cloud environment, GitHub pipeline, CI/CD concepts, and IT domain knowledge.
  • Hands-on experience with agentic frameworks.
  • Experience with vector databases, data pipelines, and retrieval systems.

Responsibilities

  • Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks.
  • Develop multi-agent workflows and coordinate agent collaboration for complex tasks.
  • Build and optimize retrieval-augmented generation pipelines for knowledge-driven agents.
  • Contribute to the development of robust, scalable agentic architectures and infrastructure.
  • Collaborate with senior engineers and data scientists in feature development, experiments, and integration of research findings.
  • Participate in code reviews, testing, and documentation to ensure quality and reliability.

Skills

Python
AWS
CI/CD
Agent frameworks
Vector databases
Data pipelines
problem solving

Education

Bachelor's degree in CS/ML/AI or related field

Tools

GitHub
CI/CD tooling

Job description

Responsibilities
  • Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks
  • Develop multi-agent workflows and coordinate agent collaboration for complex tasks.
  • Build and optimize retrieval-augmented generation pipelines for knowledge-driven agents.
  • Contribute to the development and testing of robust, scalable agentic architectures and infrastructure.
  • Collaborate with senior engineers and data scientists in feature development, experiments, and integration of research findings.
  • Participate in code reviews, testing, and documentation to ensure quality and reliability.
Required Skills & Experience
  • Undergraduate’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field.
  • 5-8 years of experience in AI/ML engineering or software development
  • Solid Python programming skills, experience with AWS cloud environment, Github pipeline, CI/CD concept and IT domain knowledge
  • Hands-on experience with agentic frameworks.
  • Experience with vector databases, data pipelines, and retrieval systems.
  • Strong problem-solving skills and eagerness to learn new AI techniques and frameworks.
Preferred Qualifications
  • Hands-on experience across multiple technology stacks including Java Spring framework, React, Rust, and Go
  • Contributions to open-source AI/ML projects or agentic frameworks.
  • Experience in building autonomous agents, RAG systems, or multi-agent workflows.
Special Factors
Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long‑term client outcomes and enrich the employee experience.

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