Expert AI Engineer

As a global market leader, iPipeline combines technology, innovation, and expertise to deliver ground-breaking, award-winning software solutions that transform the life insurance, financial services, and protection industries. With one of the industry’s largest data sets, we help advisors/advisers and agents to transform paper and manual operations into a secure, seamless digital experience – from proposal to commission– so they can help better secure the financial futures of their clients.

At iPipeline, you’ll play a major role in helping us to provide best-in-class, transformative solutions. We’re passionate, creative, and innovative, and together as a team, we continually strive to advance, accelerate, and expand the reach of our technology. We value different perspectives and are committed to creating an environment that embraces diverse backgrounds and fosters inclusion.

We’re proud that we’ve been recognized as a repeat winner of various industry awards, demonstrating our excellence and highlighting us as a top workplace in both the US and the UK. We believe that the culture we’ve built for our nearly 900 employees around the word is exceptional -- and we’ve created a place where our employees love to come to work, every single day.

Come join our team!

About IPipeline

Founded in 1995, iPipeline operates as a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500®, and Fortune 1000® indices. iPipeline is a leading global provider of comprehensive and integrated digital solutions for the life insurance and financial services industries in North America, and life insurance and pensions industries in the UK. We couple one of the most expansive digital and automated platforms with one of the industry’s largest data libraries to accelerate, automate, and simplify various applications, processes, and workflows – from quote to commission – with seamless integration. Our vision is to help everyone achieve lasting financial security by delivering innovative solutions that connect, simplify, and transform the industry.

iPipeline is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to gender, race, color, religious creed, national origin, age, sexual orientation, gender identity, physical or mental disability, and/or protected veteran status . We are committed to building a supportive and inclusive environment for all employees.

This is a hybrid position.

Responsibilities

The Expert AI Engineer owns complex technical work within GenAI and AI platform services, designing and optimizing components of retrieval pipelines, inference systems, and evaluation frameworks. Applies strong debugging, performance engineering, and architectural judgment to improve system reliability and model grounding, while guiding less‑experienced team members and influencing team‑level technical decisions.

GenAI & AI Platform Development

• Design, implement, and optimize RAG pipelines, embeddings workflows, and LLM integration patterns.
• Contribute to scalable, low-latency inference architecture across real-time and batch pipelines supporting document processing, portfolio insights, and decision-support use cases.
• Design ingestion, transformation, and indexing pipelines for vector stores and hybrid retrieval, including data curation processes and retrieval corpora in partnership with domain experts.
• Improve pipeline performance, reliability, integration quality, and cost-efficiency across GenAI workflows.
• Design and maintain prompt templates, orchestration flows, and model configurations, establishing patterns for versioning, rollback, and auditability.
• Implement secure-by-design principles and contribute to responsible AI guidelines.
• Design and implement guardrail patterns (e.g., safety classifiers, content filters, policy checks) to mitigate harmful or non-compliant outputs.

• Design evaluation frameworks, datasets, and metrics to measure grounding, factuality, consistency, safety, and overall model quality.
• Build automated test harnesses and evaluation pipelines to support model iteration and validation.
• Analyze evaluation results and translate findings into actionable improvements to models and workflows.
• Apply grounding strategies and structured response patterns to reduce hallucinations and improve reliability.

• Lead the design and implementation of core GenAI system components and services.
• Participate in architectural discussions and propose improvements within the product area.
• Write modular, reusable, and maintainable code adopted across the team.
• Conduct code reviews, design reviews, and performance troubleshooting to ensure high-quality, optimized systems.
• Mentor less-experienced engineers on coding standards, testing practices, and system design.

• Strong software engineering background with hands-on experience in AI/ML or LLM-based systems.
• Deep experience with RAG architectures, embeddings pipelines, retrieval workflows, and LLM orchestration.
• Experience designing evaluation frameworks, datasets, and offline testing approaches.
• Proficiency with cloud-native architectures, microservices, and containerization.
• Demonstrated commitment to high-quality code, testing, documentation, and system reliability.
• Proven ability to mentor others and influence technical decisions within a team.

• Typically requires 6+ years of professional experience in AI/ML engineering, including ownership of model development and system integration.

We offer a competitive compensation and benefits package, opportunities for career growth, an employee stock purchase plan, 401(k), generous time off and flexible work/life balance, company-matched retirement packages, an employee wellness program, and an awards and recognition program – all in a creative, fast-growing, and innovative company.