Staff Platform Engineer AI

Agiloft

About The Position

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. The team runs a modern software stack and iterates rapidly. 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.

Requirements

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

Nice To Haves

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

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