Build and maintain Model Context Protocol (MCP) servers to bridge the gap between LLMs and our proprietary data silos securely and in real-time. 2. Full Stack AI Delivery High-Concurrency Back-end: ...
Build and maintain Model Context Protocol (MCP) servers to bridge the gap between LLMs and our proprietary data silos securely and in real-time. 2. Full Stack AI Delivery High-Concurrency Back-end: ...
Software Engineer
Troy, MI · Remote
Familiarity with the Model Context Protocol (MCP) or similar agentic frameworks (LangChain, AutoGen, CrewAI, etc.). • WFM/Ops Tooling Experience: Prior experience building workforce management ...
Software Engineer
Troy, MI · Remote
Familiarity with the Model Context Protocol (MCP) or similar agentic frameworks (LangChain, AutoGen, CrewAI, etc.). • WFM/Ops Tooling Experience: Prior experience building workforce management ...
... and Model Context Protocol (MCP) vulnerabilities required. Proficiency in scripting and tool development (Python required; familiarity with TensorFlow/PyTorch for AI manipulation); experience ...
... and Model Context Protocol (MCP) vulnerabilities required. Proficiency in scripting and tool development (Python required; familiarity with TensorFlow/PyTorch for AI manipulation); experience ...
Senior Cloud Database Engineer (GCP + AI/GenAI Strategy)
Dearborn, MI · On-site
$97K - $132K/yr
... Model Context Protocol (MCP) with databases for contextual AI interactions. • Identify and implement AI-driven automation opportunities across the database lifecycle, including capacity planning ...
Senior Cloud Database Engineer (GCP + AI/GenAI Strategy)
Dearborn, MI · On-site
$97K - $132K/yr
... Model Context Protocol (MCP) with databases for contextual AI interactions. • Identify and implement AI-driven automation opportunities across the database lifecycle, including capacity planning ...
Tech Lead - Vehicle Electrical Software Systems Engineering, Ecosystem of AI Tools
Dearborn, MI · On-site
Ability to quickly master and implement emerging protocols like Model Context Protocol (MCP) and multi-agent orchestration frameworks (e.g., LangChain, AutoGen, or CrewAI). * Data Systems
Tech Lead - Vehicle Electrical Software Systems Engineering, Ecosystem of AI Tools
Dearborn, MI · On-site
Ability to quickly master and implement emerging protocols like Model Context Protocol (MCP) and multi-agent orchestration frameworks (e.g., LangChain, AutoGen, or CrewAI). * Data Systems
Artificial Intelligence Senior Specialist
Dearborn, MI · On-site
$97K - $132K/yr
Experience with MCP (Model Context Protocol), RAG, LangChain, Google Agent Development Kit (ADK) * Other: Rest API development using Flask/Flask API Key Responsibilities * AI Orchestration & Agentic ...
Quick apply
Artificial Intelligence Senior Specialist
Dearborn, MI · On-site
$97K - $132K/yr
Experience with MCP (Model Context Protocol), RAG, LangChain, Google Agent Development Kit (ADK) * Other: Rest API development using Flask/Flask API Key Responsibilities * AI Orchestration & Agentic ...
Full Stack Software Engineer, AI Integration
$99K - $192K/yr
As a AI Full Stack Engineer, you will architect systems where autonomous agents navigate complex business logic, utilize the Model Context Protocol (MCP) to interact with live data, and provide users ...
Full Stack Software Engineer, AI Integration
$99K - $192K/yr
As a AI Full Stack Engineer, you will architect systems where autonomous agents navigate complex business logic, utilize the Model Context Protocol (MCP) to interact with live data, and provide users ...
Applied AI Engineer, Founding Team
$73K - $218K/yr
Build and extend MCP server infrastructure - our federated Model Context Protocol network across Oracle product lines, including retrieval pipelines and evaluation frameworks * Accelerate AI-assisted ...
Applied AI Engineer, Founding Team
$73K - $218K/yr
Build and extend MCP server infrastructure - our federated Model Context Protocol network across Oracle product lines, including retrieval pipelines and evaluation frameworks * Accelerate AI-assisted ...
Experience leveraging AI-assisted engineering tools (such as GitHub Copilot and Model Context Protocol/MCP extensions) to accelerate model development, debugging, and testing. You may not check every ...
Experience leveraging AI-assisted engineering tools (such as GitHub Copilot and Model Context Protocol/MCP extensions) to accelerate model development, debugging, and testing. You may not check every ...
Senior AI Engineer
Detroit, MI · On-site +1
$112K - $147K/yr
Good to Have • Knowledge Graphs • MCP (Model Context Protocol) • AI Agent Orchestration Platforms • Multi-modal AI (Text, Image, Audio, Video) • Fine-tuning open-source models (Llama ...
New
Senior AI Engineer
Detroit, MI · On-site +1
$112K - $147K/yr
Good to Have • Knowledge Graphs • MCP (Model Context Protocol) • AI Agent Orchestration Platforms • Multi-modal AI (Text, Image, Audio, Video) • Fine-tuning open-source models (Llama ...
New
Experience building AI solutions that utilize Model Context Protocol, Agent to Agent protocols and understanding of evolving agent standards and protocols. * Experience developing applications for ...
Experience building AI solutions that utilize Model Context Protocol, Agent to Agent protocols and understanding of evolving agent standards and protocols. * Experience developing applications for ...
Senior Software Engineer (.NET )
Warren, MI · On-site +1
$114K - $151K/yr
Experience with Model Context Protocol ( MCP ) for integrating AI agents with tools, data sources, and enterprise systems * Experience with queuing and background jobs orchestration with .Net hosted ...
Senior Software Engineer (.NET )
Warren, MI · On-site +1
$114K - $151K/yr
Experience with Model Context Protocol ( MCP ) for integrating AI agents with tools, data sources, and enterprise systems * Experience with queuing and background jobs orchestration with .Net hosted ...
Senior Software Engineer (.NET )
Warren, MI · On-site +1
$115K - $151K/yr
Experience with Model Context Protocol ( MCP ) for integrating AI agents with tools, data sources, and enterprise systems * Experience with queuing and background jobs orchestration with .Net hosted ...
Senior Software Engineer (.NET )
Warren, MI · On-site +1
$115K - $151K/yr
Experience with Model Context Protocol ( MCP ) for integrating AI agents with tools, data sources, and enterprise systems * Experience with queuing and background jobs orchestration with .Net hosted ...
Senior Software Engineer (.NET )
Warren, MI · On-site
$115K - $151K/yr
Experience with Model Context Protocol ( MCP ) for integrating AI agents with tools, data sources, and enterprise systems * Experience with queuing and background jobs orchestration with .Net hosted ...
Senior Software Engineer (.NET )
Warren, MI · On-site
$115K - $151K/yr
Experience with Model Context Protocol ( MCP ) for integrating AI agents with tools, data sources, and enterprise systems * Experience with queuing and background jobs orchestration with .Net hosted ...
Data Scientist
Dearborn, MI · On-site
Experience with Context Engineering and utilizing the Model Context Protocol (MCP) to securely and seamlessly connect AI models with enterprise data sources, APIs, and development environments
Data Scientist
Dearborn, MI · On-site
Experience with Context Engineering and utilizing the Model Context Protocol (MCP) to securely and seamlessly connect AI models with enterprise data sources, APIs, and development environments
Corporate- AI Engineer
Farmington, MI · On-site +1
MCP (Model Context Protocol) or similar emerging paradigms * Strong SQL and data manipulation skills * Experience with API integrations * Understanding of machine learning fundamentals * Experience ...
Quick apply
Corporate- AI Engineer
Farmington, MI · On-site +1
MCP (Model Context Protocol) or similar emerging paradigms * Strong SQL and data manipulation skills * Experience with API integrations * Understanding of machine learning fundamentals * Experience ...
Experience with Context Engineering and utilizing the Model Context Protocol (MCP) to securely and seamlessly connect AI models with enterprise data sources, APIs, and development environments
Experience with Context Engineering and utilizing the Model Context Protocol (MCP) to securely and seamlessly connect AI models with enterprise data sources, APIs, and development environments
MCP (Model Context Protocol) or similar emerging paradigms * Strong SQL and data manipulation skills * Experience with API integrations * Understanding of machine learning fundamentals * Experience ...
MCP (Model Context Protocol) or similar emerging paradigms * Strong SQL and data manipulation skills * Experience with API integrations * Understanding of machine learning fundamentals * Experience ...
Experience implementing Model Context Protocol (MCP) for real-time automation, autonomous workflows, or CI/CD integrations. * Experience working in highly regulated industriesEnergy, Utilities ...
Experience implementing Model Context Protocol (MCP) for real-time automation, autonomous workflows, or CI/CD integrations. * Experience working in highly regulated industriesEnergy, Utilities ...
Familiarity with Model Context Protocol (MCP) or equivalent tool-integration standards * Experience deploying AI systems in regulated environments (insurance, finance, healthcare) * Experience ...
Familiarity with Model Context Protocol (MCP) or equivalent tool-integration standards * Experience deploying AI systems in regulated environments (insurance, finance, healthcare) * Experience ...
Model Context Protocol information
What is the difference between Model Context Protocol vs Data Analyst?
| Aspect | Model Context Protocol | Data Analyst |
|---|---|---|
| Required Credentials | Knowledge of data modeling, API protocols, and software development | Bachelor's degree in statistics, mathematics, or related field |
| Work Environment | Technical teams, software development, AI/ML projects | Business intelligence, reporting, data visualization |
| Industry Usage | Tech, AI, software development | Finance, marketing, healthcare, business |
| Search & Comparison Intent | Understanding technical protocols for AI models | Analyzing data for insights and decision-making |
The Model Context Protocol focuses on technical data exchange and AI model integration, requiring programming and API knowledge. In contrast, Data Analysts interpret data to generate reports and insights, often working with business tools. Both roles involve data but serve different functions within organizations.
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Full-time
Medical, Dental, Vision, Life, PTO
Posted 12 days ago
Job description
We are moving beyond "Chatbots." We are building AI-native applications where LLMs aren't just features-they are the core engine. As a AI Full Stack Engineer, you will architect systems where autonomous agents navigate complex business logic, utilize the Model Context Protocol (MCP) to interact with live data, and provide users with seamless, real-time streaming experiences.
You aren't just a software engineer; you are an AI Orchestrator bridging the gap between non-deterministic model logic and high-performance software engineering.
Responsibilities
1. Agentic Orchestration & Logic
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.
2. Full Stack AI Delivery
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.
3. AI Engineering Excellence
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.
Qualifications
- 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.
- The Agentic Mindset: You have a proven track record of moving models from "answering questions" to "completing multi-step tasks."
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
- 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.
For a detailed look at our benefits, click here: https://fordcareers.co/GSR
This position ranges from salary grade 7-8 and ranges from $99,600-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
Visa sponsorship is not available for this position.
Relocation assistance IS provided for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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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