Computer Scientist - MW Partners LLC

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. Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity. Report this job Dice Id: 10409917 Position Id: 36241373