You will act as the technical anchor for a team of senior engineers, architecting multi-agent AI frameworks and managing complex data pipelines. Your role involves ensuring seamless integration between backend telemetry, data engineering, and frontend visualizations while enforcing high code quality standards.
You will design and guide the development of performant, resilient, and scalable SaaS applications for complex industrial environments. Additionally, you will provide technical leadership to engineering teams and integrate emerging AI and agentic technologies into the platform architecture.
You will contribute to the core backend by building high-performance, low-latency APIs and ensuring system reliability in distributed environments. You will also focus on specialized tracks such as streaming data pipelines, autonomous agent development, or knowledge graph engineering.
You will serve as the technical anchor for a team of senior engineers, driving cross-boundary architectural decisions for a digital twin platform. Your role involves orchestrating backend telemetry, frontend visualizations, and data pipelines while mentoring developers and enforcing high code quality standards.
Develop and maintain end-to-end data-driven applications using React and Python to provide advanced analytics and real-time insights. Collaborate with cross-functional teams to design scalable solutions and implement georeferenced data visualizations.
You will serve as the technical anchor for a squad, driving cross-boundary architectural decisions and ensuring the integration of AI, backend, data, and frontend components. Additionally, you will conduct code reviews, mentor senior developers, and translate high-level product requirements into actionable technical tasks.
You will contribute to designing and delivering advanced agentic AI systems across the full stack, including data pipelines, knowledge graphs, and agent orchestration. You will also build interactive React-based AI chat assistants and high-performance Python services to serve live data.
You will design and deliver advanced agentic AI systems, including autonomous agents, graph-RAG pipelines, and high-performance Python services. You will also build interactive React-based interfaces to support engineers and analysts in their daily tasks.
You will shape the technical direction of complex software products and platforms while serving as the primary technical authority for your team. You are responsible for designing new applications, mentoring junior engineers, and ensuring high standards for performance, scalability, and security.
You will lead one or more development teams through complex, multi-quarter delivery work while setting technical direction and solving architectural challenges. Additionally, you will manage, mentor, and develop engineers while coordinating with product management to translate goals into concrete technical plans.
Lead a development team to deliver products and features using Agile methodologies while providing technical guidance and removing impediments. Manage team performance and career development while actively participating in hands-on software development tasks.
Design and implement robust back-end systems to process complex datasets for advanced analytics and real-time insights. Develop and maintain end-to-end applications using Python while optimizing code for performance and scalability.
Design and deploy advanced multi-agent AI frameworks to support complex technical decision-making in industrial environments. Develop autonomous tools that integrate with engineering simulators, databases, and APIs to generate context-aware insights.
Lead a cross-functional team of senior engineers to build a digital twin platform merging real-time physics and AI. Drive architectural decisions across backend, frontend, data, and DevOps to ensure seamless system integration.
Develop and maintain scalable backend services, REST APIs, and microservices using Python frameworks. Design and optimize data processing pipelines, event-driven systems, and cloud-native applications.
Develop high-performance Python APIs and distributed systems to handle massive sensor data streams and autonomous AI agents. Focus on system reliability, low-latency services, and the integration of Knowledge Graphs with LLMs.
Build, test, and ship features for energy industry software products while debugging production systems. Collaborate with distributed teams to maintain automated tests and contribute to technical documentation.
Own the full software development lifecycle for features and systems, from specification and design to testing and delivery. Collaborate with distributed teams to improve the codebase, resolve production defects, and mentor junior engineers.
Set the technical direction and architecture for products used in the oil and gas industry. Lead engineering quality, mentor other engineers, and partner with Product Management to design major applications and enhancements.
