Global leader in data-first contract lifecycle management (CLM) software, providing AI-powered solutions for contract management.

Agiloft, the leading provider of contract lifecycle management (CLM) software, is seeking a Machine Learning Engineer to join their Data Science Team. This role offers an exciting opportunity to work at the intersection of AI and enterprise software, focusing on building and maintaining machine learning features in production.

The position involves collaborating with Data Scientists, ML Engineers, Knowledge Experts, and Developers to develop and integrate cutting-edge machine learning and generative AI solutions. You'll be responsible for architecting robust data pipelines, optimizing infrastructure for ML deployment, and supporting the development of Agiloft's AI platform.

As an ideal candidate, you'll bring 3-5 years of ML Engineering experience, strong Python skills, and expertise in the data science stack. Your experience with deep learning, GenAI models, and cloud infrastructure will be valuable in building scalable solutions. The role requires both technical excellence and strong communication skills to work effectively with cross-functional teams.

Agiloft offers a competitive salary range of $110,000-$125,000 and promotes a diverse, inclusive workplace where employees can bring their authentic selves to work. The company's success is reflected in its high customer satisfaction rates and recognition as a leader by top analysts like Gartner, Forrester, and IDC.

Working remotely, you'll be part of a growing, vibrant company that values work-life balance and offers benefits like floating holidays and quarterly wellness days. This is an excellent opportunity for someone passionate about ML/AI who wants to make a significant impact in the enterprise software space while working with a supportive and innovative team.

Machine Learning Engineer position at Agiloft focusing on building and maintaining ML and AI features in production environment.

Machine Learning Engineer

Agiloft, the trusted leader in contract lifecycle management (CLM) software, is seeking a Senior MLOps Engineer to join their innovative team. This role presents an exciting opportunity to work at the intersection of machine learning and enterprise software, helping to build and maintain robust ML infrastructure that powers AI-driven contract management solutions.

The position offers a competitive salary range of $120,000 - $135,000 and embraces remote work, allowing for flexibility and work-life balance. As a Senior MLOps Engineer, you'll collaborate with Data Scientists, Legal Knowledge Experts, and Developers to design, build, and maintain production machine learning infrastructure and tooling.

Agiloft stands out as a market leader, recognized by top analysts like Gartner, Forrester, and IDC in the CLM space. The company boasts impressive customer satisfaction rates, with nearly 100% of new customers satisfied with initial implementations and a 97% annual renewal rate.

The role requires expertise in Python, machine learning frameworks, and cloud platforms (preferably AWS). You'll work with modern technologies including Docker, Kubernetes, and various CI/CD tools. Strong communication skills are essential as you'll be collaborating with diverse teams and mentoring junior members.

Agiloft offers an inclusive workplace environment that supports employee well-being through benefits like floating holidays and quarterly wellness days. The company actively supports multiple Employee Resource Groups and maintains a strong commitment to diversity and inclusion.

This is an excellent opportunity for an experienced MLOps professional looking to make a significant impact in a growing company that's at the forefront of AI-powered contract management solutions. You'll be instrumental in scaling and maintaining the machine learning infrastructure that powers next-generation contract management tools.

Senior MLOps Engineer position for building and maintaining production machine learning infrastructure and tooling at Agiloft.

Senior Machine Learning Operations Engineer

Global leader in data-first contract lifecycle management (CLM) software, providing flexible Data-first Agreement Platform for managing contract processes.

Agiloft, the trusted leader in contract lifecycle management (CLM) software, is seeking a Staff Site Reliability Engineer to join their team. As a pioneer in data-first contract management, Agiloft has earned recognition from top analysts like Gartner, Forrester, and IDC. The company boasts an impressive customer satisfaction rate with nearly 100% of new customers satisfied with initial implementations and a 97% annual renewal rate.

The Staff SRE role offers an opportunity to work with cutting-edge technology in a company that values diversity, inclusion, and work-life balance. You'll be responsible for developing and implementing highly reliable and scalable systems, working closely with cross-functional teams. The position requires expertise in cloud operations, monitoring tools, and security practices, with opportunities to lead complex projects and mentor team members.

Agiloft's culture emphasizes the philosophy that "EX = CX" - excellent employee experience leads to excellent customer experience. The company supports multiple Employee Resource Groups and offers benefits like floating holidays and quarterly wellness days. They're committed to building a diverse workplace where individuals from all backgrounds can thrive and bring their authentic selves to work.

This role is perfect for an experienced SRE professional who wants to make a significant impact in a growing, successful company that's at the forefront of the CLM market. You'll have the opportunity to shape the reliability and scalability of systems that are becoming increasingly critical for organizations worldwide.

Lead SRE position at Agiloft, focusing on building reliable, scalable systems for contract lifecycle management platform with emphasis on cloud operations and system architecture.

Staff Site Reliability Engineer

Agiloft, the trusted leader in contract lifecycle management (CLM) software, is seeking a Staff DevOps Engineer to drive their CloudOps systems architecture. This role combines technical leadership with hands-on engineering, focusing on building scalable and resilient systems using DevOps and security best practices.

As a Staff DevOps Engineer, you'll be at the forefront of designing and implementing critical infrastructure solutions, leading major initiatives, and providing technical expertise across the organization. The position offers the opportunity to work with cutting-edge technologies including AWS, Kubernetes, and various monitoring and automation tools.

Agiloft stands out with its impressive market position, being recognized as a leader by top analysts like Gartner, Forrester, and IDC. The company boasts nearly 100% customer satisfaction with initial implementations and a 97% annual renewal rate, demonstrating the value and stability of their solutions.

The company culture strongly emphasizes work-life balance and inclusivity, offering benefits like floating holidays and quarterly wellness days. They actively support Employee Resource Groups (ERGs) and maintain a philosophy that excellent employee experience translates to excellent customer experience.

This role is ideal for a seasoned DevOps professional who enjoys technical leadership, architectural challenges, and working in a collaborative environment. You'll have the opportunity to shape the future of cloud operations while working with a successful, growing company that values both technical excellence and employee wellbeing.

Lead DevOps role at Agiloft focusing on cloud architecture, security, and infrastructure automation using AWS, Kubernetes, and modern DevOps practices.

Agiloft Engineering Jobs

Global leader in data-first contract lifecycle management (CLM) software, providing AI-powered solutions for contract management.