This is ProDex's most technically demanding hire. You'll architect and refine the agentic LLM framework that powers the platform's intelligent interface. This is not a chatbot—you'll design a system where multiple LLMs work in coordination to parse data, configure simulations, and guide users through high-stakes decisions. You'll drive ProDex's ability to stay at the cutting edge of applied AI in industrial settings.

Responsibilities:

• ▸Design and implement multi-agent LLM orchestration systems for production environments
• ▸Build agent coordination frameworks that enable LLMs to configure simulations and guide decision-making
• ▸Develop prompt engineering strategies, evaluation frameworks, and performance monitoring systems
• ▸Implement RAG systems and sophisticated context management for multi-agent workflows
• ▸Integrate LLM capabilities seamlessly into live simulation and planning workflows
• ▸Monitor, debug, and optimize LLM performance, reliability, and cost efficiency
• ▸Stay current with frontier AI developments and rapidly integrate new capabilities into the platform

Basic Qualifications:

• ▸Experience developing real, production-grade multi-LLM systems—not just single-agent chat workflows
• ▸Strong grounding in prompt engineering, agent orchestration, and LLM performance evaluation
• ▸Familiarity with foundation model fine-tuning, RAG systems, and memory/context management
• ▸Solid engineering skills to integrate LLMs into live simulation workflows
• ▸Strong awareness of the evolving LLM landscape and industry tooling

Preferred Skills and Experience:

• ▸Previous work in product companies like UiPath, Figma, Adobe, or equivalent environments
• ▸Familiarity with LangChain, CrewAI, or proprietary orchestration stacks
• ▸Exposure to multi-agent systems used in planning, tooling, or knowledge extraction
• ▸Experience navigating rapid iteration cycles in frontier AI engineering contexts

As the infrastructure backbone of ProDex, you'll design and scale a secure, cloud-native platform capable of handling thousands of simulations in parallel. This is not just about uptime—it's about performance at industrial scale. You'll build microservices that power real-time planning, support both cloud and on-premise deployments, and ensure the system is secure and compliant with evolving standards. Your work will directly support performance optimization layers, real-time responsiveness, and sensitive government-grade security.

Responsibilities:

• ▸Design and implement cloud-native microservices architecture for high-throughput simulation workloads
• ▸Build and maintain distributed systems capable of executing thousands of parallel simulations
• ▸Implement caching layers and optimize system architecture for low-latency performance
• ▸Ensure SOC2 and FedRAMP compliance across all infrastructure components
• ▸Deploy and manage hybrid cloud/on-premise solutions for government and enterprise clients
• ▸Implement structured, high-volume logging and tracing across distributed microservices (e.g., OpenTelemetry, Fluent Bit, Loki)
• ▸Collaborate with modeling and AI teams to design efficient data pipelines and optimize cross-functional workflows

Basic Qualifications:

• ▸Deep experience with microservices architectures and distributed systems
• ▸High-throughput backend engineering experience in compute-heavy environments
• ▸Strong proficiency with AWS (or similar), Docker, Kubernetes
• ▸Experience designing caching layers and latency-sensitive systems
• ▸Experience implementing structured, high-volume logging and tracing across distributed microservices
• ▸Knowledge of SOC2 and FedRAMP compliance requirements
• ▸Experience with hybrid or on-premise deployments for government clients

Preferred Skills and Experience:

• ▸Background in scaling infrastructure for simulation or AI-based systems
• ▸Familiarity with network isolation, secure enclave deployments, or compliance tooling
• ▸Cross-functional coordination with modeling and AI teams to optimize data flow
• ▸Strong debugging skills across infra, data, and user-facing performance layers

You'll build interfaces that translate powerful simulations and AI outputs into clear, actionable tools. This role requires not only frontend fluency but also empathy for factory planners and non-technical users. You'll work on building custom data visualization tools, what-if scenario explorers, and animations that bring complex manufacturing systems to life with design thinking at the core.

Responsibilities:

• ▸Build interactive dashboards for factory planning, scenario exploration, and decision support
• ▸Design and implement custom data visualization components for complex manufacturing and simulation data
• ▸Create intuitive interfaces that translate technical outputs into actionable insights for non-technical users
• ▸Develop responsive, performant user interfaces using modern JavaScript frameworks
• ▸Implement and maintain design systems to ensure UI consistency across the platform
• ▸Collaborate with backend, AI, and modeling teams to surface key insights and system capabilities
• ▸Conduct user research with factory planners and iterate on designs based on feedback

Basic Qualifications:

• ▸Advanced experience in JavaScript/TypeScript with modern frameworks
• ▸Exceptional taste in UX with Figma, Notion, etc.
• ▸Ability to distill non-obvious, technical information into elegant user interfaces
• ▸Strong track record building user-facing tools that are performant and intuitive
• ▸Understanding of design systems and responsive layouts
• ▸Comfortable collaborating with AI, backend, and modeling teams

Preferred Skills and Experience:

• ▸Prior experience working with manufacturing or industrial data tools
• ▸Familiarity with data visualization libraries
• ▸Experience working with complex planning or simulation data
• ▸Interest in making powerful backend systems usable by non-technical users

This is ProDex's computational backbone and the connection between operations research and user experience: where modeling, optimization, and product meet. You'll design and implement the mathematical and simulation engines that power our factory planning tools, and expose them through performant APIs and intuitive interfaces. The work blends operations research, backend development, and modern web development – turning optimization models into real, usable products. You'll be equally comfortable writing an optimization solver in Python as you are wiring its results into a FastAPI service or a React frontend.

Responsibilities:

• ▸Develop and maintain mathematical models for complex manufacturing constraints and production rules
• ▸Design and implement optimization algorithms for factory scheduling and resource allocation
• ▸Build RESTful or GraphQL APIs with FastAPI to expose modeling capabilities
• ▸Translate messy, real-world production requirements into robust, solvable mathematical problems
• ▸Implement front-end visualizations using React + TypeScript to display optimization results
• ▸Build and refine discrete-event simulation engines for production planning scenarios
• ▸Optimize solver performance for both speed and accuracy in production environments
• ▸Collaborate with customers to understand domain-specific constraints and encode them into the system

Basic Qualifications:

• ▸Strong foundation in applied math, statistics, or operations research
• ▸Proficiency in Python for modeling, simulation, and backend development
• ▸Experience building RESTful or GraphQL APIs with FastAPI (or Flask)
• ▸Strong understanding of concurrency, synchronization, and parallel execution
• ▸Working knowledge of React + TypeScript for front-end development and visualization
• ▸Ability to translate messy, real-world constraints into solvable, production-ready logic
• ▸Comfort collaborating across modeling, design, and infrastructure teams

Preferred Skills and Experience:

• ▸Familiarity with cloud-native deployment (Docker, Kubernetes, GCP/AWS)
• ▸Experience integrating optimization engines (OR-Tools, Pyomo, CPLEX, Gurobi, etc.)
• ▸Exposure to stochastic or Monte Carlo methods for uncertainty modeling
• ▸Experience building interactive data visualizations (Plotly, D3, or similar)
• ▸Background in logistics, defense, or discrete manufacturing