AI Deployment Engineer

Stable Rock Solutions • New York, NY

11h • Hybrid

About The Position

Stable Rock is hiring an AI Deployment Engineer to help build and scale a new AI & Automation practice focused on deploying production-grade AI systems for real businesses. This is not a role where you inherit a mature playbook and simply execute predefined processes. As an early member of the team, you will help shape how the practice operates - including how projects are scoped and delivered, how AI systems are deployed securely, how engineering reviews and documentation are handled, and how repeatable processes are built as the team grows. We are looking for someone who enjoys building both systems and structure: someone comfortable writing production code, deploying AI into complex client environments, and helping establish the engineering standards, deployment patterns, and operational discipline that future team members will follow. The systems we build support real operational workflows across finance, accounting, reporting, and back-office infrastructure. These are production environments where reliability, security, auditability, and thoughtful engineering matter.

Requirements

• 4+ years of professional software engineering experience
• Strong Python engineering experience
• Strong SQL and relational database fundamentals
• Hands-on experience building with modern LLM systems, including: RAG vector retrieval agent workflows tool/function calling prompt engineering
• Experience building and maintaining production systems
• Experience integrating with third-party APIs and business systems
• Strong communication skills with both technical and non-technical stakeholders
• Security-minded engineering approach and strong ownership mentality

Nice To Haves

• TypeScript
• AWS, Azure, and/or GCP infrastructure
• AI deployments in regulated or security-sensitive environments
• Evaluation frameworks, regression testing, monitoring, and model performance tracking
• Experience working with accounting, financial, or operational systems
• Client-facing consulting or implementation experience

Responsibilities

• Design and deploy AI-powered applications, agents, RAG systems, workflow automations, and integrations.
• Build production systems using Python, APIs, databases, and modern LLM tooling.
• Integrate with CRMs, ERPs, accounting systems, internal APIs, and data platforms.
• Deploy solutions into client cloud environments, private infrastructure, and secure production systems.
• Build monitoring, testing, evaluation, and operational support processes for deployed AI systems.
• Implement security-first engineering practices including IAM, secrets management, audit trails, and least-privilege access.
• Participate in client discussions, technical reviews, implementation planning, and delivery.
• Create technical documentation, deployment runbooks, and operational procedures.
• Help establish the engineering and delivery standards for a growing AI practice.

Benefits

• Medical, Dental, and Vision insurance coverage. Employee-only premiums are paid at 100%.
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options
• 401(k) retirement savings plan
• Unlimited paid time off policy
• Discretionary performance bonus

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed