Principal AI Engineer - Servicing Solutions - (Remote - USà
About Jobgether Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. One of our companies is currently looking for a Principal AI Engineer - Servicing Solutions in the United States. As a Principal AI Engineer, you will define the technical vision for integrating cutting-edge AI-driven solutions into a loan and lease servicing platform. This involves collaborating with leadership, product, and engineering teams to build scalable, AI-powered automation and decision-making systems. You will play a pivotal role in driving the transformation of the servicing business, using AI technologies like Large Language Models (LLMs) and agentic systems to enhance efficiency and scale. Accountabilities:
- Lead the architecture and development of AI-driven tools integrated with LLMs and multi-agent systems to drive automation and decision-making processes.
- Build and implement advanced knowledge management systems, including retrieval-augmented generation (RAG) systems, to enhance AI-powered insights and recommendations.
- Collaborate with engineering, data, and product teams to align AI initiatives with business objectives and drive scalable, efficient AI solutions.
- Mentor engineering teams on best practices in AI/ML, fostering a culture of learning and technical excellence.
- Ensure AI solutions meet regulatory standards, including SOC 2 and PCI-DSS, and adhere to ethical guidelines.
- Drive the evaluation and integration of third-party AI models, APIs, and agentic frameworks, optimizing AI capabilities for performance and scalability.
- 10+ years of experience in software engineering, with at least 2+ years working specifically with AI/ML solutions or Large Language Models (LLMs).
- Strong expertise in building and improving distributed systems and full-stack applications, with proficiency in Python, TypeScript, and AI-driven backend systems.
- Hands-on experience with LLM APIs, agent frameworks, and platforms, including OpenAI API, AWS Bedrock, LangChain, and Semantic Kernel.
- Experience with AI model development, fine-tuning, deployment, and MLOps practices using frameworks such as PyTorch, TensorFlow, or Hugging Face.
- Strong understanding of machine learning principles, prompt engineering, and AI inference optimization.
- Knowledge of financial services applications, including risk assessment and AI-driven process automation.
- Leadership skills with the ability to drive AI strategy at scale and mentor a technical team.
- Competitive salary range of $191,000 - $222,000 per year, plus eligibility for bonuses and equity.
- Flexible remote working options.
- Comprehensive health benefits, including medical, dental, vision, and prescription coverage.
- Retirement savings plans with an immediate company match.
- Paid parental leave and family-building benefits.
- Opportunities for professional growth and development.
- Work in a collaborative, innovative environment with a focus on technical excellence.
Jobgether hiring process disclaimer: This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates. Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered. Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round. If you are among the top 5 candidates, you will be notified within 7 days. If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience. Thank you for your interest! #LI-CL1 Apply To This Job