As part of the Marginal Unit Team, you will be a key contributor to the fastest growing product line at Enverus. We pair complex algorithms and machine learning with powerful computational infrastructure and an intuitive UI that is unmatched in the industry. Small, fast paced, and highly collaborative, this team values engineers who enjoy tackling difficult technical and domain problems while continuously learning from one another.
Engineers on this team own systems end-to-end, including architecture, implementation, observability, reliability, and operational support.
Build and extend our AI-powered analyst agent, including LLM tool integrations, skill prompt engineering, and structured output pipelines using Claude via AWS Bedrock
Implement and maintain backend Python services, REST APIs, and async task execution infrastructure
Take ownership of existing systems and services, redesigning them as necessary to reduce complexity or leverage new technologies
Design and maintain high-throughput data ingestion and processing pipelines
Contribute to architectural discussions and influence how the team builds reliable, observable AI systems
Work directly with power market domain experts to build features that require deep understanding of both the software and the problem space
BS in Computer Science, or equivalent experience
5+ years of software engineering experience, with strong Python backend development
Experience building or integrating AI/LLM-powered features (tool use, structured outputs, prompt engineering)
Significant experience working with data-rich applications and pipelines
Proven success in delivering highly reliable and scalable software systems
Experience working within and optimizing systems that perform expensive computations
Experience using Kafka, SQL, and NoSQL databases
Familiarity with Kubernetes on GCP or AWS
Experience learning and working in a highly complex domain (financial trading or power systems is a plus)
Technology Stack:
Python, Go, Rust, Kafka, MySQL, ClickHouse, Kubernetes, Docker, AWS, Argo, Grafana, Sentry, Honeycomb, Terraform, Pulumi, Claude, AWS Bedrock, LangChain, AgentCore
Enverus is a single source platform for management, development and acquisition, within the entire energy value chain. From early-stage investment to full-scale development, we provide the actionable intelligence, in-depth analysis and speed to support your changing energy strategy.
This is what we call Intelligent Connections: empowering your company to discover previously unseen insights and opportunities, act fast, and deliver extraordinary outcomes.
A Technology Partner for the Future:
Enverus is the most trusted knowledge and analytics platform in the energy industry, with real-time access to analytics, insights, benchmark costs, revenue data and more.
More than 300 financial institutions and more than 5,000 energy companies rely on our analytics, intelligence, and technology to make capital investment decisions and increase investor ROI.
Our platform is built both by, and for, our industry. Our source is our own connections — with direct access to more than 98% of U.S. producers, and more than 35,000 suppliers, we inform more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing.
What We Provide:
Our platform provides a centralized, single-source of truth, with energy analytics informed by more than 20 years of market intelligence and machine-learning.
For personal, customizable support, our highly experienced, sizable analyst team provides thought leadership, consulting and tech innovation.
Our goal is to build a long-term relationship with you, addressing your challenges today, while providing the tools for you to thrive tomorrow.
Our customers regularly report major production increases, substantial savings on labor costs, impressive savings and EUR improvements.
We provide a complete scope of the entire energy industry, including oil and gas, financial institutions, power, utilities and renewables. But we also illuminate their connections, and where they’re going.
