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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen AI Transformation Engineer - Embedded Software & Engineering Productivity in San Diego - **Company:** Energy Jobline - **Location:** San Diego, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $134,800.0 - $202,200.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), Artificial Intelligence, Android Software Development, Automation of Tests, Binary Space Partitioning, Software Bug Management, C++ (Programming Language), Information Systems, Computer Programming, Continuous Integration, Software Debugging, Linux, Device Drivers, Embedded Software, Python (Programming Language), Log Analysis, Productivity Software, Systems Development Life Cycle, Real-Time Operating Systems, Software Engineering, Systems Integration, Large Language Models, Apache Spark, Information Technology, Engineering Base - **Published:** August 5, 2026 - **Apply:** https://www.energyjobline.com/job/gen-ai-transformation-engineer-embedded-software-engineering-productivity-san-diego-31329143 ## About the Role * Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. \n \n OR\n \nMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.\n \n OR\n \nPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.\n \n \n* 2+ years of work experience with Programming such as C, C++, Java, Python, etc.\n, * 3+ years of hands-on experience building, integrating, or deploying AI/ML, GenAI, LLM applications, developer productivity tools, or AI-enabled engineering workflows. \n * Strong understanding of GenAI concepts, LLM usage patterns, prompt/context design, model/tool integration, evaluation, and engineering applications. \n * Strong software engineering skills in Python, C, C++, or Go, with familiarity across design, implementation, testing, CI/CD, and release workflows. \n * Experience in embedded, platform, systems, or performance-sensitive software environments. \n * Ability to independently execute assigned initiatives while collaborating with leadership, architects, product teams, and cross-functional stakeholders. \n, * Experience with AI agents, RAG/context-aware systems, MCP services, tool-calling workflows, evaluation harnesses, prompt/skill libraries, or AI automation platforms. \n * Experience with AI-enabled developer productivity use cases such as code , review support, defect triage, log analysis, test , documentation, or security analysis. \n * Familiarity with Linux, Android, RTOS, device drivers, BSP, SoC bring-up, hardware/software interfaces, camera, multimedia, sensors, or edge AI deployment. \n ## Description This role works closely with SPARK leadership, GenAI platform teams, and engineering stakeholders to execute the roadmap. The Staff Engineer will take technical direction, own defined workstreams, build reusable AI-enabled workflows, and drive practical adoption of secure, measurable GenAI solutions., n \n * Execute assigned GenAI workstreams with clear deliverables, milestones, adoption goals, and success criteria. \n * Convert prioritized engineering use cases into prototypes, pilots, and production-ready workflows. \n * Build and maintain AI-enabled SDLC capabilities for code understanding, , review support, debugging, test automation, documentation, and release readiness. \n * Develop reusable agents, prompts, tools, MCP integrations, evaluation flows, and automation patterns based on leadership direction and team feedback. \n * Partner with embedded, platform, and software teams to onboard workflows, resolve integration issues, improve usability, and increase adoption. \n * Track execution status, usage, adoption, productivity impact, risks, and blockers; share concise updates with leadership and stakeholders. \n ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Progressive Delivery in Kubernetes](https://www.wearedevelopers.com/videos/949-progressive-delivery-in-kubernetes) - [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [The State of GenAI & Machine Learning in 2025](https://www.wearedevelopers.com/videos/1383-the-state-of-genai-machine-learning-in-2025) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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