Senior AI Engineer
Ford Motor Company
full-time
Posted on:
Location Type: Remote
Location: Mexico
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Job Level
About the role
- Architect, build, and deploy autonomous AI agents using state-of-the-art frameworks like ADK (Agentic Design Kit) and LangGraph that leverage LLMs to automate code reviews, quality analysis, and development workflow optimization at scale
- Design sophisticated context engineering strategies including dynamic context assembly, agentic retrieval patterns, memory systems (episodic and working memory), and multi-hop reasoning pipelines for complex code analysis tasks
- Build intelligent backend services in Python and Java that leverage GenAI to detect anti-patterns, suggest improvements, and standardize development workflows
- Define and implement coding standards and best practices specifically for GenAI systems, including LLM evaluation metrics, guardrails, and responsible AI principles
- Conduct comprehensive code reviews using state-of-the-art GenAI tools and agents, providing architectural guidance on performance, security, and AI system design
- Stay current with rapidly evolving GenAI technologies and integrate cutting-edge capabilities into production systems
- Coach engineers on GenAI best practices, AI agent design patterns, prompt engineering, and responsible AI development
- Partner with product owners, architects, security teams, and stakeholders to ensure AI solutions align with quality standards and business objectives
Requirements
- 5+ years of professional software engineering experience with strong proficiency in Python and experience with Java
- 2+ years of hands-on production GenAI experience, including building and deploying AI Agentic systems or autonomous agents in production environments
- Architecting context engineering solutions including dynamic context assembly, memory systems, and agentic retrieval patterns
- Designing multi-agent orchestration and multi-hop reasoning pipelines
- Implementing agent planning strategies, tool orchestration, and human-in-the-loop patterns
- Proven track record of shipping production-grade AI/ML systems that delivered measurable business value
- Strong experience with agentic frameworks, particularly ADK (Agentic Design Kit) and LangGraph, or similar modern agent orchestration tools
- Strong understanding of software design patterns, SOLID principles, and clean architecture applied to AI systems
- Experience with CI/CD pipelines, containerization (Docker), and cloud infrastructure
- Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or related technical field
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonJavaGenAIAI Agentic systemscontext engineeringmulti-agent orchestrationagent planning strategiessoftware design patternsSOLID principlesclean architecture
Soft skills
coachingcollaborationarchitectural guidancecommunicationproblem-solving
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Computer EngineeringBachelor's degree in Machine Learning