Note: The job is a remote job and is open to candidates in USA. Antora Energy develops thermal batteries that provide affordable, reliable energy to industry, data centers, and the grid. The Senior / Staff Software Engineer will build and own full-stack software products, connect AI systems with business logic, establish unified data models, and create secure, reliable tools that enable teams and users to work independently.
Responsibilities
- Design, build, deploy, and maintain internal and external software products across the frontend, backend, data, and AI layers. Own the complete product lifecycle, including architecture, observability, reliability, and ongoing maintenance
- Put workflow creation directly into users’ hands. Build systems that allow analysts, operators, and other domain experts to adapt their own tools without filing a ticket and waiting for engineering support
- Work alongside the people doing the work. Learn their processes, build solutions with them, and give them the tools and confidence to continue improving those solutions independently
- When users contribute their own code or workflows, you’ll make those contributions safe to run, easy to review, and straightforward to maintain
- Design the data foundation that powers Antora’s products. Connect business systems, operational data, and plant telemetry through tested transformation pipelines and a governed semantic layer
- You’ll help ensure that critical concepts—such as revenue, availability, and delivered steam—have consistent definitions across dashboards, AI assistants, applications, and autonomous agents
- Build and enforce strong access controls for sensitive, proprietary, and counterparty-restricted data. Ensure every product, workflow, and AI interface consistently respects authorization boundaries
- Make evaluation a core part of product development rather than a final checkpoint. Create systems that identify task failures, tool-calling errors, grounding gaps, security issues, and regressions before they reach users
- Where AI systems influence financial decisions, operational dispatch, or customer commitments, you’ll build safeguards that are rigorous, reliable, and easy for teams to use
- Help define architectural patterns, development practices, and technical guardrails across Antora’s software ecosystem. Distinguish between controls that prevent real failures and processes that create unnecessary friction
Skills
- **Strong product judgment.** You can turn vague, shifting requests into a clear product direction, write an effective specification, and ship a solution. You know how to challenge a feature request that misses the underlying problem while maintaining stakeholder trust
- **Production software engineering experience.** You have strong Python and TypeScript skills and are comfortable working across frontend and backend systems. You have owned applications end to end, including deployment, observability, reliability, and maintenance
- **Experience shipping AI-powered products.** You have built and deployed LLM-powered systems used by real users - and have learned from the unexpected ways those systems failed in production
- **Strong data fundamentals.** You are comfortable with SQL, warehouse modeling, and tools such as dbt or equivalent transformation frameworks. You have shipped data changes through CI and think proactively about data quality, freshness, lineage, and testing
- **A collaborative approach to building.** You have a track record of building *with* non-engineers, not simply building for them. You're comfortable pairing, teaching, reviewing someone's first pull request, and helping users become increasingly self-sufficient
- **Clear cross-functional communication.** You can connect product, data, AI, and software engineering considerations - and communicate technical decisions in a way that allows everyone in the room to contribute
- **Practical risk judgment.** You can distinguish between controls that prevent meaningful failures and ceremony that slows teams down. You know where users can safely make changes independently and where review or stronger governance is required
- **A growth mindset.** We do not expect one person to be an expert in every discipline. We value deep expertise, intellectual curiosity, sound judgment, and a willingness to learn across the stack
- * Experience building or maintaining semantic layers using tools such as dbt or Cube
- * Familiarity with ClickHouse, time-series data, or IoT systems
- * Experience with agent protocols such as MCP or with plugin and tool APIs
- * Background in energy, industrial technology, or manufacturing
- * Experience managing AI model usage, performance, and cost governance
Benefits
- Equity compensation in the form of stock options
- A premium health benefits package with life and disability insurance
- A 401K plan with employer contributions
- Flexible spending accounts
- An industry leading paid-time-off policy that features flexible and inclusive holiday observance
- Paid volunteer time off
Company Overview
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