Software Engineer IV - Agentic Workflow

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 want all of our 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!

Responsibilities:

Agentic Workflow Design & Implementation

• Design and implement scalable, AI-driven workflows using Python and modern frameworks to automate and orchestrate business operations.
• Build multi-step, context-aware workflows that coordinate operations and enable intelligent automation across the Allvue product family.

Workflow Orchestration & System Integration

• Design workflow logic that ensures data integrity, operational reliability, and scalability.
• Enable seamless coordination between systems through resilient orchestration patterns.
• Troubleshoot complex workflow and integration challenges in distributed environments.

Reliability, Quality & Engineering Practices

• Implement testing, monitoring, and observability practices to ensure reliability and performance of workflows.
• Contribute reusable components and documentation to support platform consistency and maintainability.
• Collaborate with product architects and engineering teams to align solutions with platform architecture and engineering standards.

Requirements:

• Demonstrated ability to design and implement backend and workflow – driven solutions across multiple enterprise systems.
• Strong ability to independently solve complex backend engineering problems within a distributed, service- based systems environment.
• Strong collaboration skills when working with architects, engineers, and cross-functional stakeholders.
• Strong analytical and problem-solving capabilities in complex service-orientated architectures.
• High attention to system reliability, maintainability, and engineering quality.
• Experience using Cursor or similar AI-assisted development environments.
• Advanced Python development experience, including:
• Building workflow-driven services using modern frameworks (e.g., FastAPI).
• Asynchronous programming (async/await, asyncio).
• Designing integrations across enterprise systems and distributed environments.
• Hands-on experience with LangChain / LangGraph for building agentic workflows.
• Strong understanding of LLMs and agent-based architectures (prompting, reasoning flows, tool usage).
• Nice to Have:
• Experience with Amazon Web Services (AWS) and cloud-native architectures.
• Familiarity with enterprise backend platforms and service-based environments.

Education/Certifications:

• Bachelor’s degree in Computer Science, Information Technology, Business, or a related technical discipline
• 6+ years of professional software engineering experience
• Demonstrated experience building backend services in distributed enterprise systems
• Professional proficiency in English, with the ability to communicate complex technical information clearly in both written and verbal formats and to produce high-quality technical documentation.

What We Offer:

• Health Coverage options along with other voluntary benefits
• Enterprise Udemy membership with access to thousands of personal and professional development courses
• 401K with Company match up to 4% or Employee Pension plan
• Competitive pay and year-end bonus potential
• Flexible PTO
• Charitable Donation matching, along with Volunteer and Voting PTO
• Numerous team building activities to promote collaboration in a fun and fast-paced work environment

EEOC Statement:

Allvue Systems provides equal employment opportunities (EEO) for all employees and applicants for employment. We recognize the real value of bringing people together from diverse backgrounds, experiences and perspectives - we don’t just accept difference, we celebrate and support it. We are committed to advancing these efforts through our strategies to hire, promote, create and support a diverse and inclusive environment throughout our workforce and workplace. It is our policy to prohibit discrimination and harassment of any type without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. In addition, Allvue will provide reasonable accommodations for qualified individuals with disabilities.

Job Summary:

The Software Engineer IV designs and delivers backend services and agentic workflows that embed AI into business operations across the Allvue product family. This role focuses on orchestrating intelligent, context-aware processes that automate routine work, guide users in real time, and enhance operational decision-making, while continuing to build scalable .NET and Python-based services that integrate across enterprise systems and existing microservices architectures.

Working closely with product and engineering teams, the engineer builds scalable, reliable solutions that evolve platform capabilities toward AI-driven execution and efficiency, while ensuring alignment with enterprise architecture standards and maintaining high levels of system reliability and performance.