{"slug": "genai-engineer-resume-feedback-request", "title": "GenAI Engineer Resume: Feedback Request", "summary": "A GenAI engineer with 3.6 years of experience building production AI systems is seeking resume feedback to better frame achievements for LLM-centric roles, targeting positions in India or remote UAE jobs. The engineer wants to emphasize deployment and scalability over prompting, and avoid being seen as an 'AI wrapper' in a saturated market.", "body_md": "# GenAI Engineer Resume: Feedback Request\n\n3.6 years of industry experience building production AI systems is a solid foundation, but the jump to a dedicated AI Engineer role often requires a very specific way of framing achievements. I'm currently polishing my own profile and looking for a critical eye on how to present GenAI work without sounding like I'm just \"using an API.\"\n\nIf anyone has experience reviewing resumes for LLM-centric roles, I'd appreciate a look. I'm trying to move away from generic descriptions and toward a more real-world, impact-driven narrative.\n\nMy background is a B.Tech in Computer Science, and I'm targeting roles in India or remote positions in the UAE. Since the market is getting saturated with \"AI wrappers,\" I want to make sure my production experience actually stands out to hiring managers.\n\nI'm specifically looking for a deep dive into a few areas:\n\n**Technical Framing:** Am I highlighting the right parts of the AI workflow? I want to emphasize deployment and scalability over just \"prompting.\"**Red Flags:** Are there gaps in my stack or phrasing that make me look like a beginner despite the years of experience?**Job Hunting:** Any specific strategies for finding high-quality LLM agent or GenAI roles that aren't just flooded with 1,000+ applicants on LinkedIn?\n\nIf anyone has experience reviewing resumes for LLM-centric roles, I'd appreciate a look. I'm trying to move away from generic descriptions and toward a more real-world, impact-driven narrative.\n\n[Next Replication Lag →](/en/threads/3314/)\n\n## All Replies （4）\n\nZ\n\nAre you using RAG or fine-tuning for the production systems you mentioned?\n\n0\n\nA\n\nHad to rewrite my bullet points to focus on latency and costs to actually get interviews.\n\n0\n\nR\n\nThat's a huge point. Most people just list tools, but showing you can actually optimize for production is key.\n\n0\n\nJ\n\ntry adding specific tokens/sec or cost savings numbers, that usually catches a recruiters eye.\n\n0", "url": "https://wpnews.pro/news/genai-engineer-resume-feedback-request", "canonical_source": "https://promptcube3.com/en/threads/3325/", "published_at": "2026-07-25 18:47:48+00:00", "updated_at": "2026-07-25 19:05:48.223610+00:00", "lang": "en", "topics": ["artificial-intelligence", "generative-ai", "large-language-models", "ai-agents", "ai-products"], "entities": ["GenAI engineer", "B.Tech in Computer Science", "India", "UAE", "LinkedIn"], "alternates": {"html": "https://wpnews.pro/news/genai-engineer-resume-feedback-request", "markdown": "https://wpnews.pro/news/genai-engineer-resume-feedback-request.md", "text": "https://wpnews.pro/news/genai-engineer-resume-feedback-request.txt", "jsonld": "https://wpnews.pro/news/genai-engineer-resume-feedback-request.jsonld"}}