Software Engineer 1

NAES Corporation is a leading independent operator in the power generation and industrial construction industry, seeking a Software Engineer 1 to enhance internal business workflows through AI-enabled applications. The role involves developing and integrating solutions that improve enterprise 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

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