Senior Platform Engineer

 

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.

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

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