AI Engineers design, build, and deploy intelligent systems — from LLM-powered applications to computer vision pipelines. Companies hiring AI Engineers on TalentProof use skill-based assessments to find candidates who can actually build, not just talk about ML papers.
We don’t have exact ai engineer jobs right now, but these positions use similar skills. Click any to see details, compare your resume, and apply.
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Get assessed in these skills to stand out when applying for ai engineer jobs
Core skills include Python, TensorFlow/PyTorch, LLM fine-tuning (LoRA, RLHF), RAG architectures, vector databases, prompt engineering, and MLOps deployment (Docker, Kubernetes, cloud GPU management). Experience with foundation models (GPT, Gemini, Claude, Llama) is increasingly essential.
AI Engineers in the US earn $130,000–$220,000/yr depending on experience and location. Senior AI Engineers at top companies can exceed $300,000 with equity. Remote roles typically pay 80–90% of Bay Area rates.
Take a verified skill assessment on TalentProof covering ML fundamentals, model architecture, and hands-on coding. Your Skill Scorecard shows verified scores with proctoring — more credible than a resume bullet point.
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Browse ML Engineer roles from companies using skill-based hiring. Verify your TensorFlow, PyTorch, and MLOps skills with real assessments.
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Find Prompt Engineer and LLM Developer roles. Verify your prompting, RAG, and AI application skills with TalentProof assessments.
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