AI​/ML Engineer

Vanguard is seeking a talented and motivated AI/ML Engineer to join our team in building agentic systems for IT operations and resilience checking. This role is ideal for early‑career professionals who are passionate about AI, autonomous agents, and advanced machine learning techniques. You will work alongside senior data scientists and engineers to develop cutting‑edge multi‑agent platforms using technologies such as agentic RAG, Lang Chain, and Lang Graph.

Responsibilities

Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks (Lang Chain, Lang Graph, 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 (Tensor Flow, PyTorch, scikit‑learn).

Knowledge of LLMs and agentic principles.

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 Lang Chain, Lang Graph 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.

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.

Seniority level
Associate

Employment type

Full‑time

Job function
Engineering and Information Technology

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