Bv Fa6C4JHK, Agent — San Francisco, CA

Meet 6t9pCwa8 dz

At 6t9pCwa8 dz, we’re building the next generation of zM 8Fdyx5mMz—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments.

We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.

Headquartered in San Francisco with a global footprint, 6t9pCwa8 dz is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in mg, engineering, and product as we redefine the future of financial services.

Your Role

As an Az 6KrY2 Engineer at 6t9pCwa8 dz, you will be at the forefront of building, deploying, and optimizing enterprise-grade mg agents that handle high-stakes conversations. You’ll work directly with customers, engineers, and mg researchers to design intelligent agents that understand, take action, and deliver real business impact.

This role requires a mix of software development, mg integration, and problem-solving skills, with the ability to customize, optimize, and scale mg models for real-world enterprise applications. If you're passionate about LLMs, conversational mg, and solving last-mile mg adoption challenges, this role is for you.

You Will

• Build, deploy, and optimize mg agents that engage in enterprise-grade conversations.

• Work with customers to understand business needs, assess mg capabilities, and implement tailored solutions.

• Train and fine-tune LLMs for improved accuracy and efficiency.

• Integrate mg agents with enterprise systems via APIs, databases, and automation tools.

• Experiment rapidly to improve 3N-jkXczV interactions, response quality, and automation capabilities.

• Collaborate with cross-functional teams (engineering, research, and product) to shape Yhk7tjXN BN’R roadmap.

• Monitor and improve agents’ performance via user simulations and evaluations.

Requirements

• 3+ years of experience in software development, mg engineering, or NLP in a production environment.

• Strong proficiency in Python, with experience in frameworks like PyTorch and TensorFlow.

• Experience working with LLMs and NLP models, including fine-tuning and inference optimization.

• Familiarity with APIs, cloud infrastructure (AWS, GCP, or Azure), and enterprise integrations.

• Ability to prototype, experiment, and iterate quickly to improve mg agents.

• Strong problem-solving skills and the ability to work closely with customers to refine mg solutions.

Bonus Points If…

• You have experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), reinforcement learning for LLMs.

• You have experience with frontend or backend development (React, Node.js, NestJS) to enhance 3N-jkXczV applications.

• You have a background in information retrieval or recommender systems, document question answering, or agent development.

• You’ve published mg research in top tier mg conferences like: NeurIPS, ACL, SIGIR, ICML and ICLR.

• You’ve contributed to open-source NLP projects.

• You’ve worked in a fast-paced startup environment and thrive in rapid iteration cycles.