Machine Learning Engineer II

About Allvue

We are Allvue Systems,the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules,Allvue helps eliminate the boundaries between systems, information, and people. We’re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals.

Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you’re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious.

We wantallofour team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that’s revolutionizing the alternative investment industry.

Define your own future with

Allvue

Systems!

The Machine Learning Engineer II supports the discovery, design, and delivery of AI- and automation-enabled solutions that improve operational workflows. The role partners with business stakeholders to understand pain points, build practical prototypes, integrate tools and systems, and support the adoption of solutions that deliver measurable efficiency and quality improvements. This position operates with moderate independence on defined initiatives and contributes to scalable, secure, and auditable workflow improvements.

• Partner with stakeholders to understand current workflows, pain points, and opportunities for simplification or automation.
• Document process observations, summarize requirements, and support prioritization of high-impact initiatives.
• Contribute to a practical roadmap by highlighting value, effort, dependencies, and implementation considerations.

• Design and build practical AI and automation solutions for defined business workflows.
• Automate repetitive work such as intake, triage, reporting, and knowledge access.
• Prototype quickly, test with users, and iterate based on feedback to improve usability and adoption.
• Support integrations with existing systems such as M365, intake tools, and document repositories using APIs and authentication frameworks.

• Apply AI and generative AI to document-centric use cases and operational workflow improvement.
• Support retrieval-augmented generation (RAG) solutions, including document ingestion, parsing, semantic chunking, embeddings, and retrieval patterns.
• Evaluate tools and recommend production-ready use cases that fit approved governance, risk, and security requirements.
• Incorporate appropriate human review into solutions where accuracy, auditability, and defensibility are required.

• Create clear documentation, usage notes, and playbooks to support implementation and adoption.
• Train team members on new tools and workflows and reinforce day-to-day usage.
• Track basic success metrics such as usage, time saved, and error reduction.
• Support the evolution of how work is delivered through practical, repeatable process improvements.

• Work with Legal Ops, IT, Security, Data, and Compliance partners to deliver secure and scalable solutions.
• Translate business needs into technical requirements and communicate progress clearly to non-technical stakeholders.
• Collaborate with control functions to ensure solutions meet data privacy, regulatory, and governance standards.

Within the first year you will have:

• Reduced manual legal work through automation.
• Built scalable intake and workflow processes.
• Improved visibility into Legal's work through dashboards and reporting.
• Increased self-service for internal business clients.
• Leveraged AI responsibly to improve team productivity.
  
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