Embedded AI Engineer

Gigapower is building AI capabilities that work alongside engineering teams, turning technical workflows into opportunities for automation and measurable productivity gains. As the dedicated Embedded AI Engineer, you will identify, develop, and deploy AI-powered solutions that support engineering operations across permit design, HLD/LLD, network planning, and day-to-day engineering processes.

Based in Dallas, TX (remote), this role partners closely with engineering, design, and permitting stakeholders to deliver practical tools such as RAG applications, intelligent agents, copilots, and internal engineering automations. You will also help drive adoption by coaching teams on AI tool usage and measuring real-world impact.

What you’ll do

• Partner with Engineering, Design, and Permitting teams to understand workflows, challenges, and opportunities for AI-driven improvement.
• Identify, prioritize, and deliver AI solutions that improve engineering productivity, design quality, permitting efficiency, and project execution.
• Build and deploy AI-powered automations, retrieval-augmented generation (RAG) applications, intelligent agents, copilots, and internal engineering tools.
• Develop solutions that streamline permit package creation, engineering documentation, design reviews, and standards compliance.
• Create AI-enabled capabilities that assist with HLD and LLD development, engineering analysis, and network planning activities.
• Collaborate with Data Engineering and AI teams on enterprise-scale solutions involving shared platforms, analytics, and operational data.
• Coach engineering stakeholders on effective use of AI tools including Microsoft Copilot, Claude, and ChatGPT.
• Measure solution adoption, quality, and business impact, continuously improving capabilities based on stakeholder feedback.
• Partner with engineering leadership to identify scalable AI opportunities across network design and deployment activities.
• Use AI-powered tools to improve personal productivity and accelerate solution development.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline (or equivalent practical experience).
• 1 to 3 years of experience developing software, analytics, automation, or AI-based solutions.
• Hands-on experience building applications utilizing Large Language Models (LLMs), including prompting, retrieval-augmented generation (RAG), AI agents, automation workflows, or tool integrations.
• Strong proficiency in Python.
• Experience developing solutions from concept through deployment and user adoption.
• Working knowledge of SQL and experience working with structured datasets.
• Strong communication skills, including the ability to explain technical concepts to non-technical audiences.
• Demonstrated ability to operate independently and manage competing priorities in a fast-paced environment.
• Strong problem-solving, analytical, and critical-thinking skills.
• Enthusiasm for learning new technologies and understanding complex business operations.

Technologies

• Python, SQL
• Large Language Models (LLMs)
• Retrieval-augmented generation (RAG)
• AI agents
• Microsoft Copilot, Claude, ChatGPT
• Azure, Snowflake
• Cloud-based analytics platforms, engineering systems

Preferred qualifications

• Experience in fiber engineering, telecommunications engineering, network design, permitting, outside plant (OSP), or broadband infrastructure.
• Familiarity with high-level design (HLD), low-level design (LLD), fiber routing, network planning, or engineering documentation processes.
• Working knowledge of SQL and experience with structured, geospatial, or GIS-based datasets.
• Experience with Azure, Snowflake, cloud-based analytics platforms, or engineering systems.
• Experience supporting change management, technology adoption, enablement, or training initiatives.

Key competencies

• Engineering Process Optimization: Identifies opportunities to improve engineering efficiency, quality, and consistency through technology.
• AI Solution Development: Designs and delivers practical AI-powered solutions that create measurable business value.
• Technical Partnership: Builds trusted relationships with engineers, designers, and technical stakeholders to solve complex operational challenges.
• Problem Solving & Analysis: Applies data-driven thinking and technical expertise to address engineering and network design challenges.
• Innovation & Automation: Continuously seeks opportunities to eliminate manual work and improve productivity through automation.
• Communication & Influence: Clearly explains technical concepts, gains stakeholder buy-in, and drives adoption of new capabilities.
• Learning Agility: Quickly learns new technologies, engineering processes, and business domains to maximize impact.