Senior AI Engineer

Senior AI Engineer | Remote

Summary

We are seeking a Senior AI Engineer to design, build, deploy, and operate enterprise-grade Large Language Model (LLM) applications supporting business processes within a regulated financial services environment.

The ideal candidate will have hands-on experience taking Generative AI solutions from design through production deployment and providing ongoing production support. This role requires deep expertise in LLM orchestration, RAG, AI evaluation, Python, cloud services, observability, and production-grade AI engineering.

Key Responsibilities

• Design and implement multi-step LLM pipelines, including: LLM orchestration, Structured output generation, Tool/function calling, Error handling, retry, and fallback logic
• Develop and maintain Retrieval-Augmented Generation (RAG) solutions, including: Indexing strategies, Embedding model selection, Retrieval quality optimization
• Build and maintain LLM evaluation frameworks and golden datasets to measure accuracy, consistency, and regression risk before production releases.
• Establish and enforce quality gates for model, prompt, and configuration changes.
• Implement observability for non-deterministic AI applications, including: Tracing, Structured logging, Structured logging,Quality monitoring, Cost monitoring
• Manage cost and latency performance of production AI workloads against defined budgets.
• Partner with Product, Business, Risk, Compliance, and Security teams to translate business requirements into technical solutions and support review/approval processes.
• Participate in code reviews, architectural decisions, and technical documentation.
• Provide ongoing production support for deployed AI applications, including incident response, root-cause analysis, regression management, and remediation.
• Mentor junior engineers and contribute to engineering standards and best practices.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Minimum 5 years of professional software engineering experience.
• Minimum 2 years of experience developing LLM/Generative AI applications.
• Demonstrated experience deploying at least one enterprise-grade AI application into production and supporting it after launch.