Computer Scientist

Company : Ursus, Inc.

JOB TITLE: Computer Scientist

LOCATION: San Jose (preferred) or San Francisco, CA – hybrid

PAY RANGE: $95.00 – $105.63/hr

DURATION: 1+ month

COMPANY:

Our client is a global leader in creative software, offering innovative tools for digital media creation, design, and marketing.

About the Role

• Looking for an experienced Backend Engineer to join as a Computer Scientist (Level 3/4) with 5 10 years of experience to lead the development of a next-generation agentic automation framework

• Framework will ingest a conversation (via NLP/LLMs) where strategies and tactics are agreed upon, and autonomously translate those agreements into automated workflows

• Example scenario:

  • Recognize the need to schedule a weekly time slot

  • Send a calendar invite to the user

  • Facilitate video recording

  • Connect to Instagram s API or web interface

  • Schedule the posts

  • Monitor analytics to measure performance

• All steps must be orchestrated seamlessly through APIs, virtual browser sessions (RPA), and external service integrations

• Candidate should have in-depth understanding of agent-based architectures, advanced knowledge of LLM deployments, and the ability to build a robust, modular, and extensible automation framework from the ground up

Key Responsibilities

• Design & Develop: Build a scalable backend automation framework that can translate conversational instructions into actionable tasks and orchestrate them using microservices, external APIs, scrapers, and RPA/VMs

• LLM Integration: Work closely with conversational AI and LLMs (e.g., GPT-like models) to parse user intent, extract tasks, and dynamically plan automation flows

• Modular Extensibility: Architect the framework to accommodate new services, APIs, or integrations without major refactoring ensuring reusability and maintainability

• Performance Optimization: Ensure ultra-low latency and high availability of LLM-driven services in production, optimizing inference pipelines and agent operations

• API & RPA Coordination: Integrate diverse APIs (social platforms, calendars, CRMs, etc.) and manage web-based tasks via RPA or VM-based strategies to replicate human browser actions where no direct API is available

• Security & Compliance: Implement best practices around data security, governance, and compliance, ensuring sensitive user data and credentials are properly managed and protected

• Collaboration: Partner with frontend, DevOps, data scientists, and product teams to shape technical architecture, define roadmaps, and ensure smooth cross-functional delivery

• Monitoring & Analytics: Develop monitoring and logging solutions that give visibility into automation flows, success/failure rates, and system performance metrics

Preferred Qualifications

• Bachelors Degree or higher in Computer Science or related fields.
• Agentic Framework Mastery: Proven track record with agent-based frameworks (e.g., LangChain or similar) to dynamically plan and orchestrate multi-step workflows

• LLM Production Experience: Extensive experience deploying and operating LLM models in production environments, ensuring low-latency inference and scalable infrastructure (e.g., GPU/CPU optimization, container orchestration, etc.)

• Backend Engineering Excellence: 5+ years of software development experience building high-performance backend systems in languages like Python, Go, Java, or Node.js

• API Design & Integration: Deep familiarity with REST, GraphQL, or gRPC, plus hands-on work integrating complex external APIs (including social media platforms and scheduling services)

• RPA / Virtual Browsers: Proficiency with RPA tools, virtual machines, headless browsers, or similar methods for web automation when APIs are limited or unavailable

• Scraping & Data Processing: Solid experience with web scraping libraries or frameworks, ensuring robust handling of dynamic or JS-driven sites

• Microservices & Cloud: Experience designing and deploying microservices in a modern cloud environment (AWS, Azure, or GCP), including containerization (Docker/Kubernetes) and CI/CD pipelines

• Systems Architecture: Ability to architect large-scale, distributed systems with a focus on modular, extensible designs

• Agile Mindset: Comfortable working in a fast-paced, iterative environment, adapting to evolving priorities and technologies

BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

IND123

Apply Online