Applied AI Engineer – Engineering Intelligence

Ford Motor Company

AI Engineer focuses on designing and deploying intelligent systems for engineering simulations. Collaborating with cross-functional teams to enhance decision-making and automate workflows in CAE.

Posted 6/22/2026full-timeChennai • 🇮🇳 IndiaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

CloudDockerGoogle Cloud PlatformMicroservicesPython

About the role

Key responsibilities & impact

Design and deploy multi-agent AI systems to orchestrate simulation workflows end-to-end
Build LLM-powered agents with capabilities such as planning, memory, and tool usage
Develop scalable agent orchestration pipelines using frameworks like LangGraph, AutoGen, CrewAI, or similar
Integrate AI agents with simulation tools (e.g., meshing, solvers, data systems)
Connect with external APIs, databases, and internal engineering platforms
Build production-ready AI systems for real-world engineering environments
Develop Retrieval-Augmented Generation (RAG) pipelines using simulation data and technical documentation
Implement vector databases and embedding models for domain-specific knowledge retrieval
Monitor, debug, and optimise agent performance, latency, and cost
Define evaluation frameworks to measure accuracy, reliability, and safety of AI decisions
Implement guardrails to mitigate hallucination and failure scenarios
Work closely with CAE and mechanical engineers to translate requirements into AI solutions
Communicate complex AI concepts clearly to non-AI stakeholders

Requirements

What you’ll need

Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field
2–5 years of hands-on experience in AI/ML or applied AI engineering
Experience building end-to-end AI systems (not just experimentation)
Exposure to LLMs and AI agents in production environments
Strong Python programming skills
Experience with LLMs (OpenAI, open-source models, etc.)
Understanding of agent-based systems and tool integration
Experience with APIs, microservices, and system integration
Familiarity with cloud platforms (preferably GCP)
Knowledge of software engineering best practices (testing, version control)
Experience with agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel)
Knowledge of RAG architectures and vector databases (Pinecone, ChromaDB, etc.)
Familiarity with MLOps tools (Docker, CI/CD, model serving frameworks)
Experience with structured outputs and function calling
Exposure to CAE/FEA tools (ANSYS, Abaqus, LS-DYNA)
Agentic system design (planning, memory, orchestration)
Prompt engineering and LLM optimisation
Reliability engineering and AI safety practices
Strong analytical thinking and problem-solving
Effective cross-functional communication

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Ford Motor Company Website LinkedIn All Job Openings 10,000+ employees Founded 1903 🚗 Transport 💰 Post-IPO Debt on 2023-08 Transport
Manufacturing
Sustainability Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape. Applied AI Engineer – Engineering Intelligence 🔥 1 hour ago 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟢 Junior 🟡 Mid-level 🤖 AI Engineer Cloud Docker Google Cloud Platform Microservices Python Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design and deploy multi-agent AI systems to orchestrate simulation workflows end-to-end
Build LLM-powered agents with capabilities such as planning, memory, and tool usage
Develop scalable agent orchestration pipelines using frameworks like LangGraph, AutoGen, CrewAI, or similar
Integrate AI agents with simulation tools (e.g., meshing, solvers, data systems)
Connect with external APIs, databases, and internal engineering platforms
Build production-ready AI systems for real-world engineering environments
Develop Retrieval-Augmented Generation (RAG) pipelines using simulation data and technical documentation
Implement vector databases and embedding models for domain-specific knowledge retrieval
Monitor, debug, and optimise agent performance, latency, and cost
Define evaluation frameworks to measure accuracy, reliability, and safety of AI decisions
Implement guardrails to mitigate hallucination and failure scenarios
Work closely with CAE and mechanical engineers to translate requirements into AI solutions
Communicate complex AI concepts clearly to non-AI stakeholders 🎯 Requirements
Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field
2–5 years of hands-on experience in AI/ML or applied AI engineering
Experience building end-to-end AI systems (not just experimentation)
Exposure to LLMs and AI agents in production environments
Strong Python programming skills
Experience with LLMs (OpenAI, open-source models, etc.)
Understanding of agent-based systems and tool integration
Experience with APIs, microservices, and system integration
Familiarity with cloud platforms (preferably GCP)
Knowledge of software engineering best practices (testing, version control)
Experience with agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel)
Knowledge of RAG architectures and vector databases (Pinecone, ChromaDB, etc.)
Familiarity with MLOps tools (Docker, CI/CD, model serving frameworks)
Experience with structured outputs and function calling
Exposure to CAE/FEA tools (ANSYS, Abaqus, LS-DYNA)
Agentic system design (planning, memory, orchestration)
Prompt engineering and LLM optimisation
Reliability engineering and AI safety practices
Strong analytical thinking and problem-solving
Effective cross-functional communication Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

PythonAI/MLLLMsagent-based systemsRAG architecturesvector databasesAPIsmicroservicesMLOpsfunction calling

Soft Skills

analytical thinkingproblem-solvingcross-functional communication

Certifications

Bachelor’s in Computer ScienceMaster’s in AIMaster’s in Data Science