NAES is a leading independent operator in the power generation and renewable energy sector, committed to safety and quality. The Software Engineer 1 role focuses on developing and integrating AI-enabled applications to enhance business workflows and productivity, utilizing modern AI coding tools and collaborating with cross-functional teams.
Responsibilities
- Build, test, and maintain software components that support AI and automation initiatives
- Design and implement solutions involving RAG, document ingestion, chunking, embeddings, vector search, semantic retrieval, prompt orchestration, and enterprise knowledge grounding
- Contribute to backend services, APIs, orchestration layers, and data pipelines used in AI applications
- Make heavy use of AI coding tools such as Claude Code, Codex, GitHub Copilot, or similar tools to improve development speed, quality, and productivity
- Write clean, maintainable, and well-documented code following engineering best practices
- Participate in code reviews, debugging, testing, and continuous improvement efforts
- Help support deployment, monitoring, and enhancement of AI-enabled applications across enterprise platforms
- Collaborate with senior engineers and cross-functional teams to translate requirements into working software
Skills
- Bachelor's degree in computer science, software engineering, information systems, or related field from an accredited college or university recognized by the United States Department of Education or equivalent
- One year of software engineering or application development experience
- Strong foundational knowledge of AI/ML concepts and hands-on exposure to modern AI application patterns LLM integrations, prompt engineering, embeddings, vector databases and RAG; in any context (work, projects, or coursework)
- Good understanding of software engineering fundamentals, including APIs, databases, version control, testing, and debugging
- Strong problem-solving, communication, and collaboration skills with a willingness to learn
- Python, TypeScript, SQL, REST APIs, and JSON-based integrations
- AI coding tools such as Claude Code, Codex, GitHub Copilot
- Microsoft Azure and cloud-based application development
- Experience building AI applications such as copilots, knowledge assistants, semantic search tools, or document Q&A systems
- Experience with enterprise document processing, data integration, or grounding AI systems on internal knowledge sources
- Familiarity with agentic AI patterns and best practices including tool use, multi-step reasoning, agent memory, human-in-the-loop design, and responsible handling of autonomous actions
- Exposure to CI/CD pipelines, containerized development (Docker), and production deployment workflows
- Experience with retrieval tuning, prompt iteration, and monitoring answer quality in RAG systems
- Familiarity with orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex), vector databases, or model evaluation tooling
Company Overview
NAES is the power generation industry’s largest independent services provider, with more than 40 years of experience managing risk and turning it into profits. It was founded in 1980, and is headquartered in Issaquah, Washington, USA, with a workforce of 1001-5000 employees. Its website is http://www.naes.com.Company H1B Sponsorship
NAES has a track record of offering H1B sponsorships, with 1 in 2025. Please note that this does not guarantee sponsorship for this specific role.