📋 Job Details at a Glance 📍 Location Chennai, Tamil Nadu, India 🏢 Company Ford 👥 Experience 4+ years 🎓 Qualification Bachelor’s degree or equivalent practical experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹25–₹36 LPA 🏢 Industry Technology 🛠 Key Skills Python FastAPI Generative AI Agentic AI RAG LangChain LangGraph Google ADK AutoGen CrewAI AI Engineer at Ford — Full Details & How to Apply Ford is seeking an AI Engineer in Chennai, Tamil Nadu, India to build production-grade AI systems. This role offers freshers a unique opportunity to work with advanced AI tools like LangChain and Vertex AI. The demand for AI engineers is surging in India, with companies like Ford investing heavily in AI technologies to enhance their product offerings. This specific AI Engineer role is crucial as it directly contributes to Ford 's mission of delivering reliable AI applications that improve user experience and operational efficiency. Ford , founded in 1903 , has a global presence with over 186,000 employees , making it a leader in automotive innovation. The company’s commitment to integrating cutting-edge technology into its products sets it apart in the competitive landscape of AI Engineer jobs . This position is ideal for 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree or equivalent practical experience and 4+ years experience . The salary range for this role is ₹25–₹36 LPA , making it an attractive option for aspiring AI professionals. In this role, you will gain hands-on experience with essential skills such as Python , FastAPI , Generative AI , Docker , and GCP . Working with these technologies not only enhances your technical expertise but also opens doors to advanced career opportunities in the rapidly evolving field of AI. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the AI Engineer at Ford is to develop and implement cutting-edge AI systems that enhance automotive technology and improve operational efficiency. Develop production-grade AI systems using Python and FastAPI to ensure high performance and scalability in real-world applications. Create and optimize retrieval and orchestration pipelines leveraging LangChain and LangGraph for efficient data handling and processing. Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions effectively. Monitor AI service performance metrics using tools like OpenTelemetry to ensure reliability and quality in service delivery. Take ownership of deploying applications on GCP , ensuring seamless cloud integration and operational efficiency. Document technical processes and communicate findings to stakeholders, facilitating knowledge sharing across teams. Engage with clients to understand their needs and provide tailored AI solutions, enhancing customer satisfaction and project outcomes. This role fosters an ownership culture, allowing you to directly impact the development of innovative AI solutions that drive Ford 's technological advancements. Required Skills & Technical Competencies The ideal candidate for the AI Engineer position must possess a robust skill set in AI technologies and programming languages relevant to the automotive industry. Technical Skills Python — advanced — essential for developing scalable AI applications, requiring proficiency in libraries like TensorFlow and PyTorch. FastAPI — advanced — used for building high-performance APIs, crucial for integrating AI models into production environments. Generative AI — intermediate — applied in creating innovative solutions, focusing on real-world applications in automotive technology. Docker — intermediate — utilized for containerizing applications, ensuring consistency across different environments during deployment. GCP — advanced — experience with Google Cloud Platform is necessary for managing cloud resources and deploying AI applications. When showcasing these technical skills in your resume or interview, emphasize specific projects and tools you have utilized to demonstrate your expertise. Eligibility Criteria This role is designed for candidates who are eager to advance their careers in AI engineering within a leading technology company. Candidates must hold a Bachelor's degree in Computer Science or related fields, providing foundational knowledge for AI engineering. Eligible batches include 2023 to 2026 , allowing fresh graduates to apply and start their careers. A minimum of 4 years of experience is required, but freshers with relevant internships or projects may be considered. Academic performance should ideally be above 60% , reflecting a strong understanding of technical concepts. A portfolio showcasing AI projects or a GitHub profile with relevant contributions will be advantageous for applicants. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting your educational background, relevant experience, and technical skills. Include links to your portfolio or GitHub profile. Pro tip: Tailor your application to highlight specific projects that demonstrate your proficiency in the required skills, particularly in Python and GCP . Salary for AI Engineer at Ford 💰 Compensation ₹25–₹36 LPA The advertised compensation for the AI Engineer role at Ford is ₹25–₹36 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI Engineer Upskilling with the right resources significantly enhances your chances of selection for the AI Engineer role at Ford . Recommended Courses & Resources Python — Essential for developing AI applications and algorithms. Agentic AI — Understanding this concept is crucial for advanced AI development. React — Important for building user interfaces in AI applications. Docker — Vital for containerization in cloud-based AI solutions. KodNest — Offers hands-on experience with AI technologies and frameworks. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight relevant skills and experiences specific to AI engineering. ❌ Neglecting to showcase practical projects — Include internships or projects that demonstrate hands-on experience with AI tools. ❌ Using generic language — Utilize specific terms from the job description to avoid ATS rejection. ❌ Overlooking GitHub link — Include a link to showcase coding skills and contributions to open-source projects. ❌ Not preparing for technical interviews — Practice coding problems related to AI and cloud technologies. ❌ Ignoring application instructions — Follow all application guidelines to avoid disqualification. Before You Apply — Checklist ✅ Research Ford 's recent projects and technologies to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences in AI engineering. ✅ Prepare a portfolio showcasing your AI projects or contributions to open-source initiatives. ✅ Review the job description thoroughly to ensure you meet all eligibility criteria. ✅ Gather references or recommendations from professors or industry professionals. ✅ Practice common technical interview questions related to AI and cloud technologies. ✅ Ensure your LinkedIn profile is updated and aligns with your resume. ✅ Submit your application through the provided link, ensuring all documents are attached. Resume Tailoring & ATS Keywords for AI Engineer Optimizing your resume for ATS is crucial for increasing visibility for the AI Engineer role at Ford . ATS Keywords to Include AI Engineer Python FastAPI Generative AI Agentic AI LangChain GCP Docker Vertex AI Cloud Deployment API Development Vector Databases Resume Tips for This Role Highlight your experience with Python and relevant AI projects to align with the job requirements. Emphasize any internships or projects related to AI or cloud technologies to showcase practical experience. Include a link to your GitHub profile to demonstrate your coding skills and contributions to open-source projects. Optimize your resume for ATS by using keywords from the job description to increase visibility. Avoid including unrelated work experience that does not pertain to the AI engineering role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated work experience that does not pertain to the AI engineering role. How to Apply for AI Engineer at Ford Apply Now — Ford Visit the application portal and create an account to start your application. Upload your resume, ensuring it is tailored to the AI Engineer role at Ford . Fill out the application form with accurate personal and educational details. After submission, you can expect a confirmation email regarding your application status. Track your application progress through the portal for updates on the hiring process. Applications reviewed on rolling basis — early submission recommended. Apply Now — Ford NexisGrow.com does not charge any fees for job applications. Ford Ford was founded in 1903 and is headquartered in Dearborn, Michigan . With a significant operational base in Chennai, Tamil Nadu, India , the company employs over 186,000 people globally. This extensive workforce contributes to Ford's innovations in the automotive sector, enhancing its global footprint across various markets. Ford is recognized for its pioneering electric vehicles, including the Ford Mustang Mach-E and the F-150 Lightning . Additionally, the company has integrated advanced driver-assistance systems, such as Ford Co-Pilot360 , into its vehicles, showcasing its commitment to cutting-edge automotive technology and safety. The culture at Ford emphasizes innovation and inclusivity, which has earned it a 4.0 rating on Glassdoor for employee satisfaction. The company actively promotes employee development through programs like the Ford College Graduate Program , which supports recent graduates in their career journeys within the automotive industry. Recently, Ford announced a substantial $50 billion investment in electric vehicles, signaling its dedication to sustainable technology. This initiative aims to accelerate the production of electric models and enhance the company’s technological capabilities, particularly in AI and automation. Joining Ford as a fresher in the technology sector offers unparalleled exposure to industry-leading technologies, including Generative AI and FastAPI . The mentorship opportunities available at Ford provide a strong foundation for career growth, making it an ideal launchpad for aspiring professionals in the automotive technology field. Company Details Industry Technology Location Chennai, Tamil Nadu, India Connect With Us Careers Apply Now Website 🔗 efds.fa.em5.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI Engineer at Ford? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree or equivalent practical experience and 4+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, FastAPI, Generative AI, Agentic AI, RAG. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹25–₹36 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Ford? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, FastAPI, Generative AI, Agentic AI, RAG. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, FastAPI, Generative AI, Agentic AI, RAG, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Ford research, (5) Clear communication. ? What is the work culture like at Ford? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Chennai Browse all Tech jobs Latest Fresher jobs More jobs at Ford Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com