Contract Platform Engineer - AI Agent Infrastructure & DevOps

Burshteyn Polin LLP is a technology-forward litigation boutique focused on AI, crypto, cybersecurity, complex business disputes, and class and mass actions. The firm seeks a contract platform engineer to improve, operate, and scale its software platform, AI agent infrastructure, cloud systems, and development lifecycle while collaborating with lawyers and contract engineers.

Responsibilities:

• Improve the architecture, performance, reliability, security, and maintainability of a mixed Python, JavaScript/Node.js, PowerShell, and web-application codebase
• Make AI and automation workflows more deterministic through clear schemas, reliable state management, idempotency, concurrency controls, bounded retries, and strong error handling
• Maintain and scale our existing Git-based development lifecycle and CI/CD pipeline, and strengthen automated testing, staging, deployment, monitoring, and rollback systems
• Develop, debug, and operate software across Windows, macOS, Linux, and cloud environments
• Maintain and improve AWS infrastructure, secrets and key management, IAM, logging, backups, and disaster recovery, together with services such as Netlify and Supabase
• Improve multi-model coding and agent harnesses that use Claude Code, OpenAI GPT and Codex, Grok, Fireworks AI, and other model and inference providers
• Improve observability, model routing, evaluations, caching, and token, cost, and latency controls
• Work directly with our lawyers and the existing contract engineering team to document systems and prioritize improvements

Requirements:

• Strong platform, backend, infrastructure, DevOps, or site-reliability engineering experience
• Strong Python and JavaScript/TypeScript/Node.js skills are required, along with the ability to work effectively in a mixed codebase that includes PowerShell
• Hands-on AWS experience is required, including cloud operations, IAM, secrets management, security, and infrastructure automation
• Experience developing and troubleshooting across Windows, macOS, and Linux
• Experience building and maintaining CI/CD pipelines, automated tests, reproducible environments, and safe deployment and rollback systems
• Practical experience with LLM or agent systems, including tool calling, structured outputs, context and token management, evaluations, caching, rate limits, retries, and provider APIs
• Strong debugging and security judgment across APIs, asynchronous and concurrent processes, browser or desktop automation, dependencies, and confidential data
• Clear communication, ownership, and comfort treating lawyers as technical product partners
• This is a remote hourly contract engagement expected to require approximately 10-20 hours per week