diff --git a/src/features/careers/components/CareersPage.jsx b/src/features/careers/components/CareersPage.jsx
index 05ee912..df4c78d 100644
--- a/src/features/careers/components/CareersPage.jsx
+++ b/src/features/careers/components/CareersPage.jsx
@@ -59,6 +59,35 @@ const jobPostings = [
             'Experience designing evaluation metrics beyond standard benchmark datasets',
         ],
     },
+    {
+        title: 'AI Researcher',
+        experience: 'MS/M.Tech or PhD + 1–5 years',
+        about: "Bodhan AI is seeking exceptional AI researchers to push the boundaries of Indian language AI. You'll work on cutting-edge research in NLP, Speech, and Vision for 22 Indian languages.",
+        responsibilities: [
+            'Develop and improve state-of-the-art models for Indian languages',
+            'Conduct research in multilingual NLP, low-resource languages, speech recognition, or text-to-speech',
+            'Publish research papers at top-tier conferences',
+            'Collaborate with academic partners',
+            'Optimize models for production deployment while maintaining research quality',
+            'Contribute to open-source datasets and benchmarks',
+        ],
+        required: [
+            "MS/MTech or PhD in Computer Science, AI/ML, NLP, or related field",
+            'Strong publication record in NLP, Speech, or Vision',
+            'Deep understanding of transformer architectures, LLMs, or speech models',
+            'Proficiency in PyTorch or TensorFlow',
+            'Strong Python programming skills',
+            'Experience with large-scale model training and distributed systems',
+        ],
+        preferred: [
+            'Experience with Indian languages or low-resource languages',
+            'Contributions to open-source AI projects (HuggingFace, GitHub stars)',
+            'Experience with speech processing (ASR/TTS) or multimodal AI',
+            'Knowledge of model optimization techniques (quantization, pruning, distillation)',
+            "Familiarity with Bodhan AI's models",
+            'Strong mathematical foundation in ML theory',
+        ],
+    },
     {
         title: 'RAG Engineer',
         experience: '1–3 years',
@@ -321,35 +350,6 @@ const jobPostings = [
             'Contributions to open-source data engineering projects',
         ],
     },
-    {
-        title: 'Applied AI Researcher',
-        experience: 'MS/M.Tech or PhD + 1–5 years',
-        about: "Bodhan AI is seeking exceptional AI researchers to push the boundaries of Indian language AI. You'll work on cutting-edge research in NLP, Speech, and Vision for 22 Indian languages.",
-        responsibilities: [
-            'Develop and improve state-of-the-art models for Indian languages',
-            'Conduct research in multilingual NLP, low-resource languages, speech recognition, or text-to-speech',
-            'Publish research papers at top-tier conferences',
-            'Collaborate with academic partners',
-            'Optimize models for production deployment while maintaining research quality',
-            'Contribute to open-source datasets and benchmarks',
-        ],
-        required: [
-            "MS/MTech or PhD in Computer Science, AI/ML, NLP, or related field",
-            'Strong publication record in NLP, Speech, or Vision',
-            'Deep understanding of transformer architectures, LLMs, or speech models',
-            'Proficiency in PyTorch or TensorFlow',
-            'Strong Python programming skills',
-            'Experience with large-scale model training and distributed systems',
-        ],
-        preferred: [
-            'Experience with Indian languages or low-resource languages',
-            'Contributions to open-source AI projects (HuggingFace, GitHub stars)',
-            'Experience with speech processing (ASR/TTS) or multimodal AI',
-            'Knowledge of model optimization techniques (quantization, pruning, distillation)',
-            "Familiarity with Bodhan AI's models",
-            'Strong mathematical foundation in ML theory',
-        ],
-    },
 ];
 
 const JobCard = ({ job, index }) => {