Software Engineer II: Agentic Factory and Operations Software

Amperesand

Location not specified

Full Time

Posted September 3, 2026

Solar Energy

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Listing evidence and provenance

Source: Greenhouse View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 5, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Solar Energy
Pay provenance: Pay not available

Job Description

This role is an opportunity to grow as an engineer alongside a high-agency startup team operating in the hard-tech and energy systems space.

Key Responsibilities

Implement full stack features across Amperesand’s ERP platform, intranet, and internal operational tools, with guidance from senior engineers on architecture and scope.
Build backend services and APIs in Go that support manufacturing, supply chain, and enterprise business workflows.
Build responsive and accessible web interfaces in React and TypeScript, including forms, tables, dashboards, and internal workflow screens.
Contribute to ERP capabilities such as inventory management, procurement, work order tracking, and enterprise reporting.
Contribute to intranet features such as employee directories, document and knowledge management, internal announcements, approval and request workflows, and self-service portals.
Support integrations with internal systems such as identity and SSO providers, HR systems, document storage, and collaboration tools.
Build AI-powered features into our ERP and intranet products — such as natural-language search over company knowledge, document summarization, data extraction from forms and documents, and assistant-style helpers embedded in existing workflows.
Implement the supporting pieces behind those features: retrieval and embedding pipelines, integrations with LLM provider APIs, prompt templates, and the frontend patterns that present AI output clearly and honestly to users.
Help make AI features production-ready — handling errors and slow responses, adding citations back to source records, respecting user permissions on retrieved data, and testing output quality before release.
Learn from senior and AI team engineers as you take on more of this work, and bring your own ideas for where AI could remove manual effort for our teams.
Support and maintain our existing ERP, MES, and intranet software products in production — investigating reported issues, fixing bugs, and delivering enhancements requested by internal stakeholders and customers, including issues raised from the shop floor.
Respond to stakeholder and customer questions about the tools you work on, and help translate their feedback into concrete improvements.
Write clear, well-tested, maintainable code and participate actively in code reviews.
Help debug, monitor, and improve services in production, including responding to issues and improving observability.
Work with product, design, and domain teams to clarify requirements and turn them into working software.
Leverage AI-assisted development tools such as Copilot, Cursor, or Claude to improve your velocity and code quality.
Document what you build so teammates and cross-functional stakeholders can pick it up.
Continuously grow your technical depth through mentorship, design discussions, and increasing ownership over time.

Requirements

2+ years of professional software engineering experience building and shipping web applications to production.
Working experience across both backend and frontend development, or strong depth on one side with genuine interest in growing into the other.
Experience with a typed backend language — Go preferred; experience in Go, Java, TypeScript/Node, Rust, or similar with willingness to work in Go is welcome.
Experience building web interfaces with React and TypeScript.
Solid fundamentals in REST or gRPC API design, relational databases such as PostgreSQL, and version control with Git.
Experience with databases and data systems such as PostgreSQL, ClickHouse, Redis, or similar technologies, including schema design and query optimization.
Experience with, or exposure to, Manufacturing Execution Systems (MES) — building, extending, integrating with, or supporting manufacturing or shop-floor software.
Familiarity with core MES concepts such as work order and routing execution, electronic travelers and work instructions, WIP and production tracking, operator and station interfaces, and shop-floor data collection.
Understanding of quality and traceability basics in manufacturing software — in-process inspections, non-conformances, serialization, and unit genealogy — or a strong interest in learning them.
Interest in MES-to-ERP integration, including how work orders, BOMs, inventory movements, and production status flow between systems.
Understanding of testing practices and a habit of writing tests alongside code.
Familiarity with cloud environments and containerized deployment such as AWS, Docker, or Kubernetes.
Comfortable working with AI coding tools such as Copilot, Cursor, Claude, or similar tools to supplement and accelerate development.
Some hands-on exposure to building with LLM or AI APIs — for example retrieval-augmented search, summarization, or structured extraction — or a clear interest and demonstrated aptitude for picking it up quickly.
Willingness to learn retrieval, prompting, and evaluation techniques, and to think critically about when AI output is accurate and trustworthy enough to ship.
Strong problem-solving skills, attention to detail, and willingness to ask questions and seek feedback.
Thrives in a fast-paced startup environment — a self-starter and go-getter who takes initiative, moves quickly, and is willing to put in the hard work required to ship.
Comfortable switching between new feature work and supporting live systems as priorities shift.
Proficiency in English and ability to communicate effectively with wider teams.
Ability to travel up to 20%, including international.
Exposure to enterprise or internal software such as ERP, MES, intranet, admin, or business operations tools.
Experience shipping LLM or AI-powered application features such as semantic search, retrieval-augmented generation, summarization, document understanding, or assistant-style workflows.
Familiarity with embeddings and vector search tools such as pgvector, Qdrant, Pinecone, or similar.
Exposure to prompt engineering, function and tool calling, or evaluating the quality of AI-generated output.
Interest or background in manufacturing, supply chain, industrial automation, or energy systems.
Experience working within a design system or shared component library.
Familiarity with CI/CD workflows and software DevOps practices.
Experience with dashboards, reporting, or data visualization.
Internships, side projects, or open-source contributions that show breadth across the stack.
Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.
Onsite Collaboration Rationale: Given the highly collaborative and cross-functional nature of hardware, embedded systems, and product development, in-person partnership across engineering and product teams is critical to enabling rapid execution, technical alignment, and successful development outcomes.

Benefits & Perks

Work on next-generation power infrastructure systems • High ownership and visibility • Cross-functional collaboration • Opportunity to shape future products and infrastructure • Fast-moving startup environment
Compensation will be determined based on experience, location, and other factors permitted by law.
Singapore-based employees receive benefits in accordance with local government provisions.
Compensation will be determined based on experience, location, and other factors permitted by law.
The benefits outlined below apply exclusively to employees located in the United States.
Competitive Salary + Incentive Stock Options
Medical, vision, and dental benefits for employees and their dependents, effective from the start of hire
Company paid Basic Life, AD&D, short-term and long-term disability insurance
401k retirement savings plan through Empower
Employees receive paid time off (PTO), paid sick days, and paid company holidays
Commuter Benefits
100% paid maternal leave (12 weeks) and paternal leave (6 weeks)
Singapore-based employees receive benefits in accordance with local government provisions.