Senior Software Engineer

Ford Pro is an innovative company focused on the future of mobility, seeking to enhance the transportation landscape. The Senior Software Engineer will be responsible for designing, building, and deploying cloud applications, particularly in the realm of AI and industrial analytics, while collaborating with cross-functional teams to deliver next-generation analytical solutions.

Responsibilities:

• Architect, build, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent systems to automate complex data analysis, anomaly detection, and decision-support workflows
• Champion the use of generative AI tools and agentic coding assistants (e.g., GitHub Copilot, custom LLM agents) to streamline the software development lifecycle, automate testing, and accelerate CI/CD pipelines
• Collaborate with cross-functional teams to translate business goals into technical requirements, user stories, and test suites within an Agile framework
• Author comprehensive technical design documents, system architecture diagrams, and API specifications to ensure scalable, secure, and maintainable solutions
• Build robust CI/CD deployment pipelines, integrate automated security/quality scanning, and implement modern Identity & Access Management (IAM) and automated credential rotation
• Participate in proactive problem management, root cause analysis (RCA), and incident resolution to ensure high availability of critical analytical systems

Requirements:

• Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field
• 4+ years of professional experience in Software Engineering
• 3+ years of experience with modern frontend frameworks (Angular, React, or Vue)
• 3+ years of experience with backend frameworks (FastAPI, Flask, Django, or Spring Boot)
• 2+ years of experience with Python (highly preferred for AI/Data) and/or Java
• Exposure to or hands-on experience integrating LLM APIs (e.g., OpenAI, Anthropic, Vertex AI) or open-source models into software applications
• Master's degree in Computer Science, Computer Engineering, or a related quantitative field
• Proven experience working with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and multi-agent development platforms (e.g., CrewAI, AutoGen, Semantic Kernel)
• Familiarity with vector databases (e.g., PGVector, Chroma, Pinecone, Milvus) and embedding techniques for semantic search and RAG
• Deep understanding of software engineering disciplines including eXtreme Programming (XP), Clean Code principles, Test-Driven Development (TDD), and Pair/Mob programming
• Experience developing and deploying to cloud platforms (GCP, Azure, or AWS) using modern CI/CD tools (Tekton, Terraform, Jenkins, Cloud Build)
• Experience working with Agile tools (Jira, Rally) in a fast-paced, collaborative, continuous-delivery environment
• Strong communication and collaboration skills, with a passion for leveraging cutting-edge technology to amaze and delight our business partners and customers