Position Overview

• Lead design, development, and delivery of next-generation applications on Agiloft's CLM platform.
• Build and extend agentic AI platforms and services.
• Collaborate with product management, DevOps, and engineering teams on enhancements and technology strategy.

Job Responsibilities

Architecture & Design

• Lead design and development of scalable, reliable, and maintainable full-stack applications.
• Refine and implement software architecture patterns for agentic AI platforms and microservice systems.
• Drive best practices for code quality, performance, security, and cloud-native design.

Development

• Build, test, and deploy agentic AI services leveraging MCP services on Agiloft and third-party platforms.
• Design and implement microservices on AWS following policies and best practices.
• Develop high-performance APIs and integrations for internal and external systems.
• Write clean, maintainable, testable code across front-end, back-end, databases, infrastructure.

Leadership & Collaboration

• Mentor junior and mid-level engineers fostering technical excellence.
• Collaborate with product managers, MLOps teams, and other stakeholders to translate business needs into technical solutions.
• Contribute to technical roadmaps and platform strategies.

Innovation

• Stay current with emerging AI, cloud, and distributed systems technologies.
• Evaluate frameworks, tools, and platforms to enhance productivity and performance.
• Perform other duties as assigned.

Required Qualifications

• Bachelor's in Computer Science, Engineering, or related field; Master’s preferred.
• 7+ years professional software development experience; strong full-stack engineering exposure.
• Proven experience building agentic AI platforms/services.
• Strong expertise in AWS cloud services including microservices, containers (Docker, ECS, EKS), serverless (Lambda), data services.
• Proficiency in Python, Java, TypeScript/JavaScript.
• Experience with front-end frameworks like React or Vue.js.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with DevOps, CI/CD pipelines, infrastructure as code (Terraform/CloudFormation).
• Excellent problem-solving, communication, leadership skills.
• Experience working in globally distributed remote teams.

Preferred Qualifications

• Experience developing agentic AI services, including MCP servers.
• Background in distributed systems, event-driven architectures, large-scale application design.
• Prior leadership experience guiding engineering teams, architectural decisions.
• Contributions to open-source projects or published AI systems engineering work.