Principal Engineer, AI

Jobtailor; Massachusetts; On-site; USD 130,000 - 200,000; Full time

Job summary

Jobtailor is seeking an experienced AI Engineering Lead to drive the design, development, and deployment of advanced AI solutions, including LLM-based applications and retrieval pipelines.

You will mentor engineers, shape architectural decisions, ensure security and reliability, and partner with product, data, and business teams to translate requirements into scalable AI platforms.

Qualifications

• Bachelor’s degree in CS, Engineering, Math or related field; advanced degree preferred
• Experience delivering production AI/ML systems including deployment/operationalization
• Strong programming in Python, TypeScript, or Rust
• Experience with AI/ML frameworks, LLMs, and data pipelines
• Knowledge of MLOps and production reliability
• Ability to lead complex technical initiatives
• Strong problem-solving across disciplines

Responsibilities

• Lead design, development, and deployment of complex AI solutions, including LLM-based apps and retrieval pipelines
• Own technical direction for major AI platform components
• Drive best practices for model evaluation, testing, monitoring, and operations
• Partner with product, data, and business teams to translate requirements into scalable AI solutions
• Contribute to architecture decisions on model selection, integration, and APIs
• Ensure solutions meet security, privacy, and responsible AI standards
• Mentor engineers and raise team capability and quality
• Identify risks and implement mitigation strategies

Skills

Leadership

Problem solving

Cross-functional collaboration

Mentorship

Education

Bachelor's degree in CS/Engineering/Math

Advanced degree preferred

Tools

Python

TypeScript

Rust

LLM frameworks

Job description

Responsibilities

• Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval pipelines, and model-driven services
• Own technical direction for major components or domains within AI platforms or products
• Drive engineering best practices for model evaluation, testing, monitoring, and operationalization
• Partner with product, data, and business stakeholders to translate requirements into scalable AI solutions
• Contribute to architecture decisions, including model selection, system integration, and API design
• Ensure solutions meet enterprise standards for security, privacy, and responsible AI
• Mentor and guide engineers, contributing to team capability and engineering quality
• Identify technical risks and implement appropriate mitigation strategies

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree preferred
• Significant experience delivering production AI/ML systems, including model deployment and operationalization
• Strong proficiency in programming languages such as Python, TypeScript, or Rust
• Experience with AI/ML frameworks, LLM technologies, and data pipelines
• Knowledge of model lifecycle management, MLOps, and production reliability practices
• Demonstrated ability to lead complex technical initiatives
• Strong problem-solving skills and ability to work across disciplines.