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.
Lead the design and development of our AI-powered analyst agent, including LLM integration, skill-based tool architecture, and agentic reasoning pipelines
Drive architectural decisions for backend services built in Python, including async task execution, API design, and structured output modeling
Take technical ownership of existing systems and services, redesigning them as necessary to reduce complexity or leverage new technologies
Define engineering standards and patterns across the team and mentor engineers at multiple levels
Partner with product and domain experts to translate power market problems into scalable, maintainable software
Integrate and evolve our use of frontier AI models (Claude via AWS Bedrock) as capabilities and APIs continue to advance
Challenges You'll Face:
Highly complex domain (the power grid itself, and the markets that sit on top of it)
Building reliable, observable agentic systems where LLM behavior is inherently non-deterministic
Continuously evolving AI capabilities requiring ongoing architectural adaptation
Stability and observability of a distributed system involving dozens of semi-independent services
Maintaining performance while working with complex computations on large-scale real-time data
BS in Computer Science, or equivalent experience
8+ years of software engineering experience with significant Python backend development
Demonstrated experience leading technical direction on a team or system, not just delivering within one
Experience designing and operating AI-powered or agent-based systems (LLM integration, tool use, structured outputs)
Significant experience working with data-rich applications and pipelines
Proven success in delivering highly reliable and scalable software systems
Experience with task queuing systems (Dramatiq, Celery, or similar) and async distributed workflows
Experience using 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)
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Enverus is an energy-dedicated SaaS company that empowers the global quality of life by helping customers make energy affordable and accessible. Their platform maximizes value from generative AI, reshaping how energy is consumed and managed.