Full Stack Software Engineer, AI Integration

Ford Motor Company

AI Full Stack Engineer designing AI-native applications using LLMs at Ford. Architecting systems for seamless user experiences in real-time streaming environments.

Posted 5/8/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $99,600 - $192,900 per yearWebsite

Tech Stack

Tools & technologies

AngularAWSCloudDistributed SystemsDockerFlaskGoGoogle Cloud PlatformJavaJenkinsKubernetesMicroservicesPostgresPythonReactSpringSpring BootSpringBootSQLTerraform

About the role

Key responsibilities & impact

Design Autonomous Loops: Transition from linear "chain" workflows to self-correcting agentic loops using frameworks like LangChain, LlamaIndex, or CrewAI.
Tool-Use Architecture: Design and implement robust "tool-calling" capabilities, ensuring LLMs can reliably interact with external APIs and microservices.
MCP Integration: Build and maintain Model Context Protocol (MCP) servers to bridge the gap between LLMs and our proprietary data silos securely and in real-time.
High-Concurrency Back-end: Develop asynchronous Python (FastAPI) or Java services optimized for long-running AI tasks and token streaming.
Streaming Front-end: Build responsive, stateful UIs in React or Angular that handle complex AI interactions (streaming text, generative UI components, and multi-modal feedback).
Advanced RAG Pipelines: Go beyond basic vector search. Implement re-ranking, query transformation, and embedding optimization to maximize retrieval precision.
Context Optimization: Master the "Context Window" by implementing prompt compression and "lost-in-the-middle" mitigation strategies.
Evaluation & Observability: Establish AI Evals to quantify hallucination rates, latency, and cost. Lead the shift from "vibes-based" testing to rigorous, automated AI benchmarking.
DevOps/MLOps: Manage CI/CD pipelines that include vector database migrations and automated prompt versioning.

Requirements

What you’ll need

BS in Computer Science or Engineering related field
5+ years of total software engineering experience
2+ years focused on AI integration
Technical Requirements:
AI Frameworks: 2+ years of professional experience with LangChain, LlamaIndex, or Google ADK.
AI Development Tools: GitHub Copilot (IDE & CLI), Claude Code, Cursor, or similar agentic coding assistants.
System Design: Ability to architect end-to-end AI-native systems—covering data flow, latency budgets, failure modes, scaling strategies, and LLM integration patterns.
Back-end Mastery: 3+ years designing and building Python (FastAPI/Flask) or Java (Spring Boot) services, with expertise in async patterns, distributed systems, and API design.
Front-end Precision: 2+ years designing real-time, streaming UI systems in React or Angular, with a focus on state management, WebSocket/SSE patterns, and component architecture.
Data Architecture: Expert knowledge of SQL (PostgreSQL/pgvector) and Vector Databases (Chroma, Qdrant, or Pinecone).
Cloud Infrastructure: Hands-on experience with GCP (Vertex AI) or AWS (Bedrock).
Modern DevOps: Experience with Git, Docker, Kubernetes,Terraform, and CI/CD (GitHub Actions/Jenkins).
What Sets You Apart:
The Agentic Mindset: You have a proven track record of moving models from "answering questions" to "completing multi-step tasks."
Prompt Engineering as Code: You treat prompts as production code—versioned, tested, and optimized for deterministic outcomes.
MCP Expertise: You understand the future of data grounding and have experimented with or implemented Model Context Protocol servers.
Growth Agility: You stay ahead of the curve, moving fluently from RAG-based architectures to Long-Context model strategies as the landscape shifts.

Benefits

Comp & perks

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonFastAPIJavaReactAngularSQLPostgreSQLVector DatabasesAI FrameworksSystem Design

Soft Skills

agentic mindsetgrowth agilityprompt engineeringevaluation and observabilitycontext optimizationleadershipcommunicationproblem-solvingcollaborationadaptability

Certifications

BS in Computer ScienceEngineering related field