Software Engineer

About Us:

Lovelace is the only provider of enterprise-scale context engines capable of analyzing trillions of real-time data points to create knowledge graphs that are usable by autonomous agents at the speed, scale, and accuracy required for mission-critical analysis.

Lovelace’s context engine platform, Elemental, uniquely integrates data ingestion, entity resolution, and graph building into a single pipeline that empower agentic deployments, delivering 1000X the investigative power for complex queries. With its proprietary ground-breaking YottaGraph, Lovelace provides enterprises with real-time, real-world context, enabling agents to understand the impact of global intelligence on enterprise data for unmatched insights with millisecond precision.

Founded in 2023 by Andrew Moore, former head of Google Cloud AI, dean of Carnegie Mellon’s School of Computer Science, and first AI advisor for U.S. CENTCOM, Lovelace currently works with some of the largest public and private enterprises in the world.

Job Summary:

• As a Software Engineer at LovelaceAI, you will play a crucial role in the development of AI-driven solutions to address complex challenges in national security and emergency management. You will be part of a team of enthusiastic experts combining their expertise in software engineering, algorithm development and AI integration with highly performant system engineering.

Key Responsibilities:

• Software Development: Collaborate with cross-functional teams to design, develop, test, and maintain software applications and systems that support defense and emergency response operations.

• Algorithm Development: Create and optimize algorithms for real-time data analysis, pattern recognition, and predictive modeling, ensuring the highest level of accuracy and efficiency.

• Security and Compliance: Ensure the security and compliance of software systems with stringent defense and emergency response industry standards and regulations.

• Documentation: Maintain detailed documentation for code, algorithms, and software architecture to facilitate collaboration and future development efforts.

• Testing and Quality Assurance: Conduct thorough testing, debugging, and optimization to ensure the reliability and performance of software applications.

• Continuous Learning: Stay updated on the latest advancements in AI, machine learning, and defense technologies to propose and implement innovative solutions.