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Full Stack Ai Engineer information
See Rochester Hills, MI salary details
$41K - $53.2K
1% of jobs
$53.2K - $65.4K
3% of jobs
$65.4K - $77.6K
4% of jobs
$77.6K - $89.8K
5% of jobs
$89.8K - $102K
11% of jobs
$102.7K is the 25th percentile. Wages below this are outliers.
$102K - $114.3K
15% of jobs
The median wage is $122.3K / yr.
$114.3K - $126.5K
17% of jobs
$126.5K - $138.7K
17% of jobs
$141K is the 75th percentile. Wages above this are outliers.
$138.7K - $150.9K
13% of jobs
$150.9K - $163.1K
9% of jobs
$163.1K - $175.3K
5% of jobs
$41K
$124K
$175.3K
How much do full stack ai engineer jobs pay per year?
What is a Full Stack AI Engineer?
How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?
What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

Full-time
Posted 19 days ago
Job description
Ford Motor Company is building AI-native applications where LLMs are the core engine. As a Full Stack Software Engineer specializing in AI Integration, you will architect systems that utilize advanced AI frameworks and develop both back-end and front-end solutions for seamless user experiences.
Responsibilities:
โข Agentic Orchestration & Logic Design Autonomous Loops: Transition from linear "chain" workflows to self-correcting agentic loops using frameworks like LangChain, LlamaIndex, or CrewAI.
โข Tool-Use Architecture: Design and implement robust "tool-calling" capabilities, ensuring LLMs can reliably interact with external APIs and microservices.
โข 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.
โข Full Stack AI Delivery High-Concurrency Back-end: Develop asynchronous Python (FastAPI) or Java services optimized for long-running AI tasks and token streaming.
โข 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).
โข Advanced RAG Pipelines: Go beyond basic vector search. Implement re-ranking, query transformation, and embedding optimization to maximize retrieval precision.
โข AI Engineering Excellence Context Optimization: Master the "Context Window" by implementing prompt compression and "lost-in-the-middle" mitigation strategies.
โข Evaluation & Observability: Establish AI Evals to quantify hallucination rates, latency, and cost. Lead the shift from "vibes-based" testing to rigorous, automated AI benchmarking.
โข DevOps/MLOps: Manage CI/CD pipelines that include vector database migrations and automated prompt versioning.
Qualifications:
Required:
โข BS in Computer Science or Engineering related field
โข 5+ years of total software engineering experience
โข 2+ years focused on AI integration
โข AI Frameworks: 2+ years of professional experience with LangChain, LlamaIndex, or Google ADK.
โข AI Development Tools: GitHub Copilot (IDE & CLI), Claude Code, Cursor, or similar agentic coding assistants.
โข System Design: Ability to architect end-to-end AI-native systemsโcovering data flow, latency budgets, failure modes, scaling strategies, and LLM integration patterns.
โข 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.
โข 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.
โข Data Architecture: Expert knowledge of SQL (PostgreSQL/pgvector) and Vector Databases (Chroma, Qdrant, or Pinecone).
โข Cloud Infrastructure: Hands-on experience with GCP (Vertex AI) or AWS (Bedrock).
โข Modern DevOps: Experience with Git, Docker, Kubernetes, Terraform, and CI/CD (GitHub Actions/Jenkins).
Preferred:
โข The Agentic Mindset: You have a proven track record of moving models from 'answering questions' to 'completing multi-step tasks.'
โข Prompt Engineering as Code: You treat prompts as production codeโversioned, tested, and optimized for deterministic outcomes.
โข MCP Expertise: You understand the future of data grounding and have experimented with or implemented Model Context Protocol servers.
โข Growth Agility: You stay ahead of the curve, moving fluently from RAG-based architectures to Long-Context model strategies as the landscape shifts.
Company:
We don't just make history -- we make the future. Founded in 1903, the company is headquartered in Dearborn, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Ford
Sourced by ZipRecruiter
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
Industry
Civil engineering construction
Company size
51 - 200 Employees
Headquarters location
Doral, FL, US
Year founded
1982