AI Engineer

Stable10; Boston (MA); Vor Ort; USD 150.000 - 210.000; Vollzeit

Zusammenfassung

Stable10 is seeking an experienced AI Engineer to lead the implementation and deployment of a customized AI platform for a major financial services organization. This hands-on role requires solving complex technical challenges, taking AI products from concept to production, and working with a globally distributed engineering team.

You will own the end-to-end delivery of AI applications, collaborate with customer stakeholders, and ensure reliability and scalability of AI-powered workflows in

Qualifikationen

• 6–12 years of software engineering experience with a focus on backend or AI engineering.
• Proven experience building and deploying LLM-based or agentic AI applications in production.
• Strong Python development skills and delivering customer-facing features end-to-end.
• Deep understanding of software architecture, distributed systems, and system design.
• Experience shipping production software for enterprise customers.
• Bachelor's degree in Computer Science or a related field.

Aufgaben

• Lead end-to-end implementation of a customized AI/LLM platform within a large enterprise.
• Design, build, and deploy production-grade AI applications and services.
• Collaborate with a globally distributed team to integrate customer-specific functionality into the core platform.
• Own system reliability, performance, and scalability of AI-powered workflows.
• Act as a technical partner to customer engineering and technology stakeholders.
• Troubleshoot production issues and drive solutions independently.
• Contribute to architecture decisions and engineering best practices.

Kenntnisse

Python

LLM engineering

Backend engineering

Production deployment

Distributed systems

REST APIs

Generative AI

RAG

Agentic AI Systems

Cloud platforms

Kubernetes

CI/CD

Observability tooling

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Kubernetes

Containerization (Docker)

Cloud platforms (AWS/GCP/Azure)

CI/CD tooling

Observability tooling

Jobbeschreibung

We're partnering with a fast-growing venture-backed AI startup that's building and deploying production-grade AI solutions for large enterprise customers. They are looking for an experienced AI Engineer to lead the implementation and deployment of a custom AI platform for a major financial services organization.

This is a hands-on, high-impact role for someone who thrives in startup environments, enjoys solving complex technical challenges, and has experience taking AI products from concept to production.

What You'll Do

• Lead the end-to-end implementation of a customized AI/LLM platform within a large enterprise environment
• Design, build, and deploy production-grade AI applications and services
• Collaborate closely with a globally distributed engineering team to integrate customer-specific functionality into the core platform
• Own system reliability, performance, and scalability across AI-powered workflows
• Act as a technical partner to customer engineering and technology stakeholders
• Troubleshoot complex production issues and drive solutions independently
• Contribute to architecture decisions, platform evolution, and engineering best practices
• Python
• Generative AI
• Retrieval-Augmented Generation (RAG)
• Agentic AI Systems
• REST APIs

Required Experience

• 6-12 years of software engineering experience, with a strong focus on backend or AI engineering
• Proven experience building and deploying LLM-based or agentic AI applications in production
• Strong Python development skills and experience delivering customer-facing product features end-to-end
• Deep understanding of software architecture, distributed systems, and system design
• Experience working directly with enterprise customers and shipping production software
• Bachelor's degree in Computer Science or a related technical field

Ideal Background

• Currently or recently working at a high-growth, venture-backed AI startup (Series A-D)
• Experience building AI products used by external customers rather than internal-only tools
• Strong communication skills and ability to work directly with technical stakeholders

Nice to Have

• Experience with cloud infrastructure (AWS, GCP, or Azure)
• Kubernetes and containerized deployments
• CI/CD automation and observability tooling
• Experience operating AI systems in regulated or enterprise environments

Not the Right Fit If

• Your experience is primarily research-focused with limited production deployment ownership
• You've mainly worked as a Data Scientist, Data Engineer, ML Researcher, or DevOps/SRE without significant software engineering responsibility
• You're looking for a highly structured large-enterprise environment rather than a startup setting

Why Join?

• Build real AI products being used in production today
• Work directly with enterprise customers solving high-value problems
• High ownership and autonomy from day one
• Opportunity to shape the future of an AI platform at a rapidly growing startup
• Collaborative, execution-focused engineering culture