Senior AI Engineer

Fountain; United States; On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Opportunities for professional growth

Dynamic and thriving workplace

Commitment to employee well-being

Job summary

A technology-driven company in the United States is seeking a highly skilled Senior AI Engineer to develop ClaimSentinel, an AI-driven claims quality assurance platform. This pivotal role involves building LLM-powered pipelines, ensuring reliable and scalable AI systems. You'll collaborate closely with product teams and AI leadership, actively engaging in all phases of system design, testing, and deployment. If you have over 5 years of experience in AI engineering and a passion for operational excellence, this role offers an exciting opportunity to shape the future of claims processing.

Qualifications

• 5+ years in AI engineering, ML engineering, or related roles.
• Strong experience building LLM-driven applications.
• Ability to collaborate cross-functionally.

Responsibilities

• Build and maintain LLM-driven workflows for various tasks.
• Deploy models via Docker and integrate them into backend services.
• Optimize inference latency and throughput in cloud environments.

Skills

AI engineering experience

Python proficiency

Strong communication skills

Experience in ML frameworks

Model inference optimization

Tools

PyTorch

Hugging Face

Docker

CI/CD

Job description

We are seeking a highly skilled, hands-on Senior AI Engineer to help build ClaimSentinel, RENFROE’s next-generation AI-driven claims quality assurance platform. This is a foundational role focused on building production-quality LLM-powered pipelines from the ground up, integrating AI capabilities into real operational systems, and establishing best practices as we move from MVP to production pilots.

As one of the first AI engineers on the team, you will have significant ownership over LLM workflows, inference systems, evaluation pipelines, and integration patterns. This role is not research-focused; it requires building reliable, scalable AI systems that support real claims QA workflows in production.

You will work closely with AI leadership, product teams, and software engineering to deliver scalable AI features while helping shape the early AI engineering culture. This is a hands‑on engineering role, with most of your time spent designing, building, testing, and deploying production AI systems.

What You’ll Do

• Build and maintain LLM-driven workflows for text extraction, summarization, classification, reasoning, and automation.
• Develop prompting strategies, evaluation frameworks, guardrails, and validation logic for reliable LLM outputs.
• Build RAG pipelines using embeddings, vector stores, and retrieval models (managed or self‑hosted).
• Fine‑tune or adapt LLMs and integrate third‑party or hosted models.
• Build and maintain production inference services and AI‑facing APIs that support ClaimSentinel.
• Implement data preprocessing and feature extraction for text and multimodal datasets.
• Support integration of classical ML or CV components when they complement LLM‑driven workflows.
• Work with large volumes of structured, unstructured, and OCR‑derived documents.

Infrastructure & Deployment

• Deploy models via Docker and integrate them into backend services.
• Implement monitoring, logging, and observability for AI components.
• Optimize inference latency, throughput, and cost in cloud environments.
• Ensure secure, reliable, and scalable operation of AI services.

Technical Collaboration

• Partner closely with software engineering on integration strategies and delivery timelines.
• Work with product leadership to refine requirements and iterate on AI‑driven features.
• Contribute to dataset design, annotation workflows, and overall AI development best practices.

What We’re Looking For

Required

• 5+ years in AI engineering, ML engineering, or adjacent production‑focused roles.
• Strong experience building LLM‑driven applications (prompting, RAG, embeddings, fine‑tuning).
• Proficiency in Python and modern AI/ML frameworks (PyTorch, Hugging Face, LangChain/LlamaIndex, or similar).
• Experience deploying and optimizing model inference services in production.
• Familiarity with model serving approaches, including managed endpoints and model serving frameworks (vLLM, Ray Serve, or similar).
• Solid software engineering fundamentals (testing, CI/CD, version control).
• Experience designing evaluation and monitoring workflows for LLM systems.
• Cloud experience with platforms such as Azure, AWS, or GCP.
• Ability to work independently in a lean team and make thoughtful engineering tradeoffs.
• Strong communication skills and ability to collaborate cross‑functionally.

Nice to Have

• Experience with computer vision techniques and multimodal models.
• Experience applying classical ML techniques in production systems.
• Experience in insurance, claims, or related regulated industries.
• Experience mentoring engineers or contributing to engineering best practices.

Why Join RENFROE?

We believe that success starts with our people. By joining our team, you’ll become part of a culture built on strong values:

• Excellence: We are dedicated to excellence in every aspect of our work. We seek the best minds and talents and provide them with opportunities for professional growth and continuous learning.
• Growth: Growth is the cornerstone of our company’s mission. By driving innovation, expanding our reach, and continuously improving our services, we ensure the company’s progress and success. At the same time, we remain dedicated to supporting the personal growth of our employees, fostering a dynamic and thriving workplace for all.
• Curiosity: We foster curiosity and innovation, encouraging creative thinking and exploration of new ideas to remain at the forefront of our industry.
• Empathy: A supportive and understanding workplace is key to our success. We value empathy and build relationships based on trust and mutual respect.
• Integrity: Transparency and honesty are at the core of our business practices. We uphold the highest ethical standards in all that we do.
• Service: Service is at the heart of our values. We are committed to making a positive impact on our clients, our community, and each other.