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Amperesand

Modular solid-state transformers for grid power

Software Engineer 2 - Agentic Factory and Operations Software

AI Application Engineering +1Posted on Nov 10
Full-timeSingapore

About the Job

Requirements

  • At least 2 years of professional software engineering experience building and shipping web applications to production.
  • Experience across 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 is preferred, and experience with Go, Java, TypeScript/Node, Rust, or a similar language is welcome with willingness to work in Go.
  • 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), including building, extending, integrating, or supporting manufacturing or shop-floor software.
  • Familiarity with MES concepts such as work order and routing execution, electronic travelers and work instructions, work-in-progress and production tracking, operator and station interfaces, and shop-floor data collection.
  • Understanding of manufacturing software quality and traceability basics, including in-process inspections, non-conformances, serialization, and unit genealogy, or a strong interest in learning them.
  • Interest in MES-to-ERP integration, including the flow of work orders, bills of materials, inventory movements, and production status 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.
  • Comfort using 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, such as retrieval-augmented search, summarization, or structured extraction, or a clear interest and demonstrated aptitude for learning quickly.
  • Willingness to learn retrieval, prompting, and evaluation techniques and to assess when AI output is accurate and trustworthy enough to ship.
  • Comfort 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 internationally.

Responsibilities

  • Implement full-stack features across the ERP platform, intranet, and internal operational tools, with senior-engineer guidance 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 including inventory management, procurement, work order tracking, and enterprise reporting.
  • Contribute to intranet features including 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 single sign-on providers, HR systems, document storage, and collaboration tools.
  • Build AI-powered features into 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 workflows.
  • Implement supporting components for AI features, including retrieval and embedding pipelines, integrations with LLM provider APIs, prompt templates, and frontend patterns that present AI output clearly and honestly.
  • Help make AI features production-ready by handling errors and slow responses, adding citations to source records, respecting user permissions on retrieved data, and testing output quality before release.
  • Learn from senior and AI team engineers while taking on more AI feature work, and propose ways AI could reduce manual effort for teams.
  • Support and maintain ERP, MES, and intranet products in production by investigating reported issues, fixing bugs, and delivering enhancements requested by internal stakeholders and customers, including shop-floor issues.
  • Respond to stakeholder and customer questions about the tools and translate feedback into concrete improvements.
  • Write clear, well-tested, maintainable code and participate in code reviews.
  • Help debug, monitor, and improve production services, including responding to issues and improving observability.
  • Work with product, design, and domain teams to clarify requirements and turn them into working software.
  • Use AI-assisted development tools such as Copilot, Cursor, or Claude to improve development velocity and code quality.
  • Document work so teammates and cross-functional stakeholders can use and maintain it.
  • Grow technical depth through mentorship and design discussions and take on increasing ownership over time.

Desired Qualifications

  • Go experience is preferred among typed backend languages.
  • 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 demonstrating breadth across the stack.

About the Company

Amperesand

Modular solid-state transformers for grid power

Amperesand develops modular solid-state transformers (SSTs) for grid infrastructure using silicon carbide (SiC) devices and proprietary high-frequency transformers. The SSTs are digitally controlled and bidirectional, offered in 2, 4, and 6 MW modules that can be combined to meet larger needs, replacing traditional transformers, switchgear, and UPS in a single AI-driven system. It differentiates itself through the combination of SiC SSTs, proprietary high-frequency transformers, digital power management, and leadership from NTU R&D spun out with Temasek’s Xora Innovation, plus an experienced team from ABB, GE, Siemens, and Vestas. The goal is to speed up the energy transition by delivering scalable, compact SST systems for EV charging networks, microgrids, data centers, and industrial power, with first deliveries planned for 2025 in the US and Singapore.

Company size
51-200
Company stage
Series A
Total funding
$130M
Headquarters
Singapore
Founded
2023

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