AI Engineer / Generative AI & Backend Systems

AI Engineer (Generative AI & Backend Systems)

• 4+ years of backend software development experience
• Strong programming skills in Python, Java, Go, or similar languages
• Experience deploying machine learning or LLM-powered solutions in production environments
• Experience building APIs, services, and scalable distributed applications
• Strong understanding of cloud infrastructure and modern software architecture
• Experience monitoring, evaluating, and improving AI system performance
• Strong analytical and troubleshooting abilities
• Excellent communication and collaboration skills

Desired Skills & Experience

• Hands-on experience building Generative AI applications
• Familiarity with LLM evaluation methodologies and frameworks
• Production monitoring and observability experience
• Experience designing highly available service architectures
• Strong systems design background
• Experience owning products, services, or features from concept to launch
• Background working within high-growth engineering organizations

• 40% Generative AI Development
• 35% Backend Engineering & Service Development
• 15% AI Quality, Monitoring & Reliability
• 10% Architecture & Technical Design

Daily Responsibilities

• 80% Hands-On Development
• 10% Cross-Functional Collaboration
• 10% Technical Planning & Design

The Offer

• $130,000 - $175,000
• Bonus eligible

You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Vacation Time
• 401(k)
• Hybrid Work Environment
• Exposure to Emerging AI Technologies

A fast-growing technology company located Northwest of Boston (Hybrid - 3 days onsite) is seeking a full-time AI Engineer to design and develop production-grade AI applications. This position combines backend software engineering, cloud-native development, and generative AI technologies to deliver intelligent customer-facing solutions. The ideal candidate brings strong software engineering fundamentals alongside experience integrating machine learning and large language models into real-world products.