Product Engineer, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home

Parallel Partners is hiring a Product Engineer to develop AI-powered email applications. The role focuses on defining AI capabilities, translating model behavior and technical constraints into product decisions, and partnering with machine learning and engineering teams to evaluate, iterate, and deliver reliable user experiences.

Responsibilities

• Define end-to-end requirements for Artificial Intelligence (AI) capabilities, from model behavior to system behavior to user experience
• Translate model capabilities, evaluation results, and technical constraints into clear product and system decisions
• Make trade-offs across quality, latency, cost, reliability, safety, and UX
• Work closely with Machine Learning (ML), backend, and client engineers on system design, evaluation, and iteration
• Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback
• Establish clear quality bars and feedback loops for AI-powered experiences
• Drive execution through clear specifications, prioritization, and strong technical judgment
• Identify failure modes and ensure Artificial Intelligence (AI) systems behave predictably and recover gracefully
• Own product quality end-to-end, correctness, reliability, usefulness, and user trust

Preferred

• Experience shipping AI-heavy consumer products
• Background as an engineer or highly technical product manager
• Experience defining evaluation metrics for Machine Learning (ML) systems
• Strong intuition for Artificial Intelligence (AI) UX patterns and failure handling
• Prior experience in zero-to-one product environments
• AI product shipping
• Consumer product experience
• ML evaluation metrics
• AI UX patterns
• Failure handling
• Zero-to-one product experience
• intuition

Benefits

• Medical insurance
• Dental
• Vision
• Savings Plan Options
• PTO
• 100% Remote / Work From Home

Company

• IT recruiting and staffing for financial services and trading
• Naperville, Illinois, USA
• https://parallelpartners.com/
• Founded in 1995
• 2-10 employees

Qualifications

• Artificial Intelligence (AI) and Machine Learning (ML) experience required
• Strong computer science fundamentals and system design skills
• Solid understanding of modern Machine Learning (ML) and how Artificial Intelligence (AI) systems behave in production
• Comfortable reading technical designs, understanding architectures, and engaging deeply with engineers
• Strong intuition for model limitations, hallucinations, evaluation, and failure modes
• Significant experience owning complex, technical products end-to-end
• Hands-on experience with AI-powered products, particularly LLM-based systems
• Experience with model evaluation, experimentation, prompting, or Artificial Intelligence (AI) system iteration
• Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans
• Strong judgment and the ability to make decisions when the right answer is not obvious
• Highly technical, curious, and comfortable going deep
• Strong bias toward shipping, experimentation, and learning from real-world usage
• Able to challenge engineers and researchers constructively while maintaining strong collaboration
• Comfortable operating with significant ownership in a fast-moving, zero-to-one environment
• An engineering background is a strong plus, but what matters most is the ability to reason deeply about - both AI systems and product outcomes
• Experience shipping AI-heavy consumer products
• Background as an engineer or highly technical product manager
• Experience defining evaluation metrics for Machine Learning (ML) systems
• Strong intuition for Artificial Intelligence (AI) UX patterns and failure handling
• Prior experience in zero-to-one product environments

Required skills

• AI Product Development, Artificial Intelligence, Large Language Model (LLM) Systems, Machine Learning, Model Evaluation, Prompt Engineering, System Design

Preferred skills

• Experience shipping AI-heavy consumer products, Prior experience in zero-to-one product environments