About Detect

At Detect, we’re redefining how organizations see and respond to the world around them. Our mission is to turn complex data into clear, actionable insights that drive smarter decisions. We build cutting-edge solutions that fuse technology, geospatial intelligence, and automation to solve real-world challenges — from infrastructure management and public safety to climate resilience and beyond.

As a fast-growing, innovation-driven company, we’re always looking for passionate and curious people to join our team. We value creativity, collaboration, and a commitment to excellence. At Detect, you’ll work on impactful projects, use the latest tools and technologies, and help shape the future of intelligent systems.

Whether you’re building software, analyzing data, or designing user experiences, you’ll find your place here

Why Join Us?

• Growth: With a strong emphasis on personal development, we encourage continuous learning and tackling challenging projects that contribute to professional growth.
• Impact: Play a pivotal role in shaping the future of our technology and products, directly influencing the success of our solutions
• Culture of Experimentation: We live by the mantra "fail fast, fail often". By encouraging experimentation and learning from each failure, we pave the way for significant breakthroughs. We promote an environment where every team member is empowered to test new ideas, challenge the status quo and contribute to a culture of continuous innovation.

 

What you will do:

As an AI Engineer specializing in LLMs, you'll play a key role in turning cutting-edge research into practical tools that support critical infrastructure decisions. You'll help architect and build GenAI systems that go beyond basic chat - integrating LLMs with real-world data, maps, and user workflows to surface actionable insights.

Your work will span everything from LLM fine-tuning and RAG pipelines to deploying scalable AI applications that help our users understand and respond to risks like wildfires and storms. You'll also help shape our AI platform and MLOps practices to ensure performance, reliability, and traceability at scale.

We're looking for somebody who's not just ready to execute on existing ideas, but also help us define and lead new AI initiatives. You'll play a critical role in influencing the direction of our AI roadmap, with the opportunity to make meaningful impact on the safety, resilience, and sustainability of utility networks.

 

Growth and Exploration Opportunities: 

• Cross-domain exploration: While your core focus will be on LLMs and GenAI, there are opportunities to collaborate with our computer vision team on projects on projects that combine imagery, geospatial data, and language.
• End-to-end ownership: You'll have the chance to explore the full lifecycle of AI systems - from research and prototyping to deployment and feedback loops - and help define how LLMs evolve within real-world products used by utility teams.

 

Key Responsibilities:

• Design and build LLM-powered tools that help users analyze and understand risk across utility networks, using techniques such as fine-tuning, RAG and prompt engineering.
• Prototype and deploy GenAI applications that integrate with structured data, maps, and imagery to support user decision-making in high-stakes environments like wildfire or storm response.
• Collaborate across teams including computer vision, data engineering, and product to create cohesive experiences that combine text, geospatial data and visual information.
• Contribute to our MLOps and AI infrastructure, ensuring our LLM workflows are scalable, traceable, and performance-optimized across research, testing and deployment stages.
• Help shape our long-term AI strategy, working closely with leadership to define how AI evolves within our platform and impact the broader utilities space.

 

Requirements:

• Experience building and deploying LLM or GenAI applications (e.g., chat interfaces, agents, RAG pipelines, or internal tools)
• Strong understanding of Python and experiences with relevant frameworks
• Familiarity with working on end-to-end machine learning systems, from experimentation to production
• Ability to work with structure and unstructured data, including text, tabular or spatial datasets
• Comfortable collaborating across disciplines to ship real-world tools

 

Nice to Have:

• Experience working with geospatial data or map-based interfaces
• Knowledge of MLOps tools (e.g., MLFlow, Weights & Biases, Dagster)
• Prior experience at an early-stage startup or in a fast-paced, cross-functional team

 

Join Us!

If you’re looking to make a real-world impact and grow with a company that values innovation, purpose, and people — we’d love to hear from you. At Detect, your ideas matter, your work has meaning, and your growth is our priority.

Tomorrow’s Energy,

Today’s Intelligence