The Fullstack Developer will lead the design, development, and delivery of applications on Agiloft's CLM platform, focusing on agentic AI services and collaboration with engineering teams and stakeholders.
As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
Position Overview
We are seeking a highly skilled Fullstack Developer - Agentic AI, to join Agiloft’s engineering team who can lead the design, development, and delivery of next-generation applications on our award-winning CLM platform. This role will be central to building and extending agentic AI platforms and services.
As technical leader, you will collaborate with stakeholders in product management, DevOps teams, and other engineering teams on the design and development of enhancements as prioritized on the product roadmap and contribute to the overall technology strategy while remaining hands-on with software development.
Job Responsibilities
- Architecture & Design
- Lead the design and development of complex full-stack applications, ensuring scalability, reliability, and maintainability.
- Refine and implement software architecture patterns for agentic AI platforms and microservice-based systems.
- Drive best practices for code quality, performance, security, and cloud-native design.
- Development
- Build, test, and deploy agentic AI services that leverage and orchestrate MCP services on Agiloft’s CLM platform as well as on 3rd-party platforms.
- Design and implement microservices on AWS based on Agiloft’s policies and design pattern and industry best-practices.
- Develop high-performance APIs and integrations for internal and external systems.
- Write clean, maintainable, and testable code across the stack (front-end, back-end, databases, infrastructure).
- Leadership & Collaboration
- Mentor junior and mid-level engineers, fostering a culture of technical excellence.
- Collaborate with product managers, MLOps teams, and other stakeholders in the organization to translate business needs into technical solutions.
- Contribute to technical roadmaps and long-term platform strategies.
- Innovation
- Stay current with emerging technologies in AI, cloud services, and distributed systems.
- Evaluate new frameworks, tools, and platforms that can enhance development productivity and system performance.
- Other duties as assigned.
Required Qualifications
- Bachelor’s in Computer Science, Engineering, or related field. Master’s degree preferred
- 7+ years of professional software development experience, with significant exposure to full-stack engineering.
- Proven experience in building agentic AI platforms/services
- Strong expertise in AWS cloud services, including microservices, containers (Docker, ECS, EKS), serverless (Lambda), and data services.
- Proficiency in modern programming languages (e.g., Python, Java, TypeScript/JavaScript).
- Experience with front-end frameworks such as React or Vue.js.
- Strong knowledge of databases (SQL and NoSQL)
- Familiarity with DevOps practices, CI/CD pipelines, infrastructure as code (Terraform/CloudFormation).
- Excellent problem-solving, communication, and leadership skills.
- Experienced at working in a globally distributed team in a remote-only environment.
Preferred Qualifications
- Experience with the development of agentic AI services, including MCP servers.
- Background in distributed systems, event-driven architectures, and large-scale application design.
- Prior leadership experience in guiding engineering teams and influencing architectural decisions.
- Contributions to open-source projects or published work in AI systems engineering.
Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at [email protected].
Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.
Applications will be reviewed as submitted. There will be no application deadline for this opportunity.
Top Skills
AWS
CloudFormation
Docker
Ecs
Eks
Java
JavaScript
Lambda
NoSQL
Python
React
SQL
Terraform
Typescript
Vue
Similar Jobs
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
As a Senior Full Stack Engineer at Gradient AI, you will develop web applications, collaborating on design, building data pipelines, and optimizing software solutions for client-facing applications.
Top Skills:
AWSCi/CdDevOpsDjangoFastapiPandasPolarsPythonReactReduxTerraform
Healthtech
As a Senior Full Stack Software Engineer, you will shape technical strategy, lead architecture discussions, implement systems, mentor team members, and drive AI-powered feature development while partnering with product managers.
Top Skills:
AICi/CdGCPLlmsNode.jsPostgresReactReact Native
News + Entertainment
The Full Stack Software Engineer will design, develop, and maintain enterprise applications integrating generative AI, while collaborating with cross-functional teams to enhance productivity.
Top Skills:
AWSGCPGraphQLJavaJavaScriptNode.jsNoSQLPythonReactSpring Boot
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
