Software Engineer 1

NAES • Issaquah, WA

22h • $74,200 - $85,000 • Hybrid

About The Position

At NAES, you’ll find engaging and challenging career opportunities in the power
generation, renewable energy and industrial construction industry. At every
level of the company, we share a common goal: To instill confidence in our
clients through our steadfast commitment to safety, integrity and quality of
work.

NAES is largest independent operator of power facilities in the industry,
operating more than 190 power plants throughout the United States, Canada,
Mexico and the UK that span all technologies and provide over 49 GW of capacity.
With the strength of 4000 people, our growing family of companies now addresses
the entire life cycle of power generation and other industrial plants.

Summary

The Software Engineer is responsible for the development and integration of
AI-enabled applications that improve internal business workflows and enterprise
productivity.  Build and refine LLM-powered solutions, RAG pipelines, document
and knowledge retrieval workflows, and enterprise integrations, while making
extensive use of modern AI coding tools to accelerate delivery, improve code
quality, and support the scalable deployment of production-ready AI
capabilities.

Requirements

• Education: 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.  Relevant work experience may be substituted for education on a year-for-year basis. 
• Years of Experience: One year of software engineering or application development experience.
• 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
• 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

Nice To Haves

• 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 patters 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 (preferred)

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 501-1,000 employees