Agiloft

Staff Platform Engineer AI

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Job Description

Position Overview

Engineers at Agiloft design, build, and deploy products designed to fundamentally change how contracts are created, reviewed, negotiated, and stored. You’ll be working with a team of experienced entrepreneurs, engineers, data scientists, designers, and legal subject matter experts to build cutting-edge innovations for a fast-growing scale-up company.

Things we’ve built so far:

  1. A global, enterprise-scale serverless platform on AWS, deployable on demand.
  2. A suite of LLM-powered applications, employing thoughtful queuing and load balancing in order to manage LLM capacity at scale.
  3. An API-first development culture, with a backend serving a growing number of frontend clients.

As a Staff Platform Engineer, you will work with a fast-moving, ambitious team, building and maintaining enterprise software applications. You will collaborate with a group of designers, AI experts, and other software engineers in pursuit of a common goal: to build great software products that solve high-stakes problems for our customers. The team runs a modern software stack and iterates rapidly. 



Job Responsibilities
  • Build and maintain software applications in our suite of enterprise software products
  • Work with product managers and designers to brainstorm bottom-up solutions to novel problems
  • Collaborate with AI engineers to efficiently utilize commercial large language model (LLM) APIs
  • Continuously improve the code quality, extensibility, scalability, and test coverage of software projects
  • Make architecture and cloud-engineering decisions in conjunction with other engineers
  • Develop and improve infrastructure-as-code stacks, CI/CD pipelines, and monitoring/observability tools
  • Improve internal developer tools, workflows, and best practices to enhance team efficiency
  • Provide consistent feedback to management regarding the quality of the team, the state of the tech stack, and relationships with stakeholders
  • Troubleshoot and resolve complex issues across the entire application stack
  • Mentor junior team members
  • Participate in incident response and disaster recovery efforts
  • Leverage AI-assisted tools to enhance productivity, streamline workflows, and support day-to-day activities
  • Other duties as assigned

    • Required Qualifications

    Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
  • Minimum of 8 years of professional experience as a software engineer
  • Minimum of 3 years in a tech lead, architecture lead, or management role
  • Comfortable working with Python in core application code
  • Experience building modern, cloud-native applications using serverless technology (API Gateway, Lambda, DynamoDB, or similar)
  • Interest in building enterprise software with deep customer empathy, taking pride in contributing to a world class end-to-end user experience
  • Strong problem-solving, collaboration, teamwork and communication skills
  • Eagerness to learn and adapt to new technologies and tools
  • Proficiency in using relevant AI Tools in the SLDC (Cursor, GitHub Copilot) coding, and/or API integrations

    • Deep understanding of:

  • Version control systems (Git)
  • Relational databases and data modeling (Postgres preferred)
  • Infrastructure as Code in AWS (CloudFormation, SAM)
  • RESTful API design and documentation
  • CI/CD tools such as GitHub Actions or similar
  • Containerization and orchestration (Docker, ECS)
  • Enterprise-scale cloud engineering in AWS
  • Modern software development lifecycle on an agile product team

    •  


    Preferred Qualifications
  • Interest in team leadership and career growth
  • Experience building applications on top of LLMs  using commercial APIs
  • Familiarity with Postgres, query optimization, and database indexing
  • Exposure to data science tooling in Python (numpy, scipy, scikit-learn, pandas)
  • Experience with monitoring and observability across deployments and tenants
  • Interest in application security and cloud security

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