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Senior Software Engineer, AI Product Engineering
Safe FleetCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying AI-powered applications, leveraging advanced techniques such as Generative AI, Machine Learning, and Deep Learning. Proficient in backend development, API integration, and applying AI-Native Engineering practices to enhance software quality and performance.
Highest-signal resume keywords
AI-Powered Application DevelopmentBackend Systems DevelopmentAI-Native Engineering PracticesMachine Learning FundamentalsAI Coding Agents Proficiency
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, develop, and deploy scalable, secure, and production-ready AI features and shared AI services
- Apply Generative AI, Machine Learning, Deep Learning, and Computer Vision to solve product challenges
- Build solutions using LLMs, RAG, AI agents, workflow orchestration, and traditional Machine Learning techniques
- Develop robust backend services and APIs to integrate AI capabilities into existing products
- Implement AI evaluation, monitoring, and optimization for reliability, performance, and cost efficiency
- Contribute to reusable AI architecture patterns, technical prototyping, and production delivery
- Apply AI-Native Engineering practices throughout the software development lifecycle
- Leverage AI coding agents, Spec-Driven Development, and development automation to improve engineering productivity
- Develop and utilize AI agents, reusable skills, and automated workflows for implementation, testing, code review, and delivery
- Continuously improve Agentic SDLC practices while maintaining software quality, security, and maintainability
- Collaborate with Product Management and engineering teams to translate product requirements into technical solutions
- Participate in architecture and design discussions, code reviews, and technical decision-making
- Mentor other engineers and contribute to engineering standards, technical knowledge sharing, and continuous improvement
- Stay current with emerging AI technologies and AI-Native Engineering best practices
Requirements
What you’ll need- 6+ years of professional software engineering experience, including strong system design and software architecture skills
- Proven hands-on experience developing and deploying AI-powered applications or product features in production
- Strong experience with modern AI platforms and services, such as OpenAI, Azure OpenAI, Google Gemini, Claude, or equivalent technologies
- Solid understanding of LLMs, transformer-based models, prompt engineering, RAG architectures, AI agents, and workflow orchestration
- Practical knowledge of Data Science and Machine Learning fundamentals, including model evaluation and performance considerations
- Strong experience developing backend systems, APIs, and scalable cloud-based solutions using AWS, Azure, or GCP
- Proficiency with AI coding agents, such as Claude Code, GitHub Copilot, Cursor, or equivalent tools
- Hands-on experience applying AI-Native Engineering practices, including Spec-Driven Development and AI-assisted software development workflows
- Practical understanding of Agentic SDLC, including agent-assisted implementation, automated testing, verification, and development automation
- Strong problem-solving, communication, and cross-functional collaboration skills
- Preferred: Experience developing AI-powered features for commercial software products
- Preferred: Experience with Computer Vision, image/video analytics, Deep Learning, or predictive Machine Learning
- Preferred: Experience with local/self-hosted models, Hugging Face, and Model Context Protocol (MCP)
- Preferred: Experience with AI agent orchestration frameworks and production ML pipelines
- Preferred: Experience developing custom AI coding agents, reusable agent skills, automated verification, and CI/CD integration
- Preferred: Experience building reusable AI services or shared AI platforms
- Preferred: Familiarity with Agile methodologies and experience working in regulated or security-conscious environments
Benefits
Comp & perks- 12.5% bonus
- Equal opportunity, diverse, and inclusive workplace
- Fair and equitable hiring practices
- Workplace culture where employees can thrive and reach their full potential
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative AIMachine LearningDeep LearningComputer VisionLLMsRAG ArchitecturesAPI DevelopmentCloud Solutions (AWS, Azure, GCP)Spec-Driven DevelopmentAgentic SDLC
Soft Skills
Problem-SolvingCommunicationCross-Functional Collaboration
Tools & Technologies
OpenAIAzure OpenAIGoogle GeminiClaudeClaude CodeGitHub CopilotCursorHugging FaceCI/CD IntegrationAI Agent Orchestration Frameworks
Industry Keywords
AI ServicesProduction ML PipelinesAgile MethodologiesRegulated EnvironmentsTechnical Prototyping