Computer Scientist

Description

Computer Scientist

3+ Month W2 Contract

San Francisco, CA (Hybrid)

Here's how you'll become a key player with this opportunity:

We're looking for an experienced Backend Engineer to join Adobe as a Computer Scientist (Level 3/4) and spearhead the development of a next-generation agentic automation framework. This framework will ingest a conversation (via NLP/LLMs) where strategies and tactics are agreed upon, and autonomously translate those agreements into automated workflows. For example, if the conversation concludes that a user needs to schedule a weekly video recording session and subsequently post the videos on Instagram, our framework should:

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 of these steps must be orchestrated seamlessly through APIs, virtual browser sessions (RPA), and external service integrations. The right candidate will bring an 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.

Here's how you'll make an impact on the team:

• 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.

Here's what you'll need to be successful in this role:

• Bachelors Degree or equivalent work experience
• 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.

Pay Range:

$95.00 - $105.00/hour

Benefits That Matter to You:

• NextDeavor offers health, vision and dental benefits for contract employees
• Paid sick leave eligibility is contingent on state of residence
• Optional 401k Plan (excludes employer match)
• Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment (NextDeavor boasts an impressive conversion rate of approximately 70%).

Ready to take the next step? Apply today and be part of a team that transforms businesses and fuels growth.