Staff AI Engineer - LLM expert

Staff AI Engineer – LLM expert

interface.ai is the industry’s leading specialized AI provider for banks and credit unions, serving over 100 financial institutions. The company’s integrated AI platform offers a unified banking experience through voice, chat, and employee‑assisting solutions, enhanced by cutting‑edge proprietary generative AI. Our mission is clear : to transform the banking experience so every consumer enjoys hyper‑personalized, secure, and seamless interactions, while improving operational efficiencies and driving revenue growth.

About the Role

We’re hiring a Staff Engineer – Core AI to design, experiment, and scale the next generation of LLM‑powered multi‑agent systems that enable intelligent, secure, and compliant automation for financial institutions. This role goes beyond integrating third‑party APIs—it’s about building differentiated intelligence : training, tuning, and evolving models that reason, plan, and act autonomously in high‑stakes environments. You’ll work at the intersection of LLM research, applied reinforcement learning, and AI systems engineering, driving innovation in model fine‑tuning, prompt optimization, encryption for inference, and speech‑to‑speech AI.

Your mission : create the AI runtime layer that powers adaptive, explainable, and policy‑aligned agents at scale.

What You’ll Own

• Model Evolution : Build fine‑tuning pipelines, explore open‑weight models, and benchmark their performance against proprietary LLMs.
• Inference Optimization : Drive high‑throughput, low‑latency inference strategies across GPUs, TPUs, and distributed inference clusters.
• Safety & Guardrails : Design data‑safe pipelines with encryption for model I / O, and implement automated PII detection and masking at both prompt and response layers.
• RL‑Based Learning : Apply Reinforcement Learning (RLHF / RLAIF), reward modeling, and policy optimization to continuously improve model performance.
• Speech‑to‑Speech and Multimodal AI : Explore speech model architectures (ASR / TTS) and build adaptive pipelines for natural, real‑time conversational intelligence.
• POCs & Experimentation : Rapidly prototype emerging models, toolchains, and optimization methods to maintain a competitive edge.
• Framework Leadership : Collaborate with research and backend teams to evolve our custom AI orchestration layer—combining multiple specialized models, memory systems, and evaluation tools.

What You’ll Do

What We’re Looking For

Required Qualifications

Preferred Qualifications

What Makes This Role Special

Compensation

Compensation is expected to be between $200,000 - $240,000. Exact compensation may vary based on skills and location.

What We Offer

Equal Opportunity

At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person’s unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

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