AI/ML Engineer

Reposted 12 Days Ago
2 Locations
In-Office
Junior
Fintech
The Role
Design and implement AI systems using LLMs, develop workflows for agent collaboration, optimize knowledge-driven pipelines, and engage with senior team members.
Summary Generated by Built In

Responsibilities

  • Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks (LangChain, LangGraph, etc.).

  • Develop multi-agent workflows and coordinate agent collaboration for complex tasks.

  • Build and optimize retrieval-augmented generation (RAG) 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

  • Master’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field.

  • 1–3 years of experience (including internships or projects) in AI/ML engineering or software development.

  • Solid Python programming skills and familiarity with ML frameworks

  • (TensorFlow, PyTorch, scikit-learn).

  • Knowledge of LLMs and agentic principles.

  • Vanguard Internal Use Only• 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 with LangChain, LangGraph or similar agentic frameworks.

  • Familiarity with AWS cloud platforms and MLOps tools.

  • 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.

Top Skills

AWS
Langchain
Langgraph
Python
PyTorch
Scikit-Learn
TensorFlow
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The Company
Charlotte, NC
20,252 Employees
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests.

Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind.

Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets.

For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin
Vanguard Marketing Corporation, Distributor.

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