Computer Scientist

Responsibilities and duties:

• 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.

Requirements:

• Bachelor's 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 Google Cloud Platform), 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.