Senior Agentic AI Engineer at Talent To Hire Inc. — NeverHard

Job DescriptionJob Description Senior AI Engineer - Agentic Systems / LLMOPS We’re looking for an AI Engineer with deep technical expertise in agentic AI systems, LLM orchestration, and cloud deployment. The ideal candidate has hands-on experience building, deploying, and optimizing multi-agent architectures, integrating Retrieval-Augmented Generation (RAG), and delivering production-grade AI workflows on AWS or similar cloud environments. You’ll be at the center of innovation — turning complex semiconductor design workflows into scalable, autonomous AI agents capable of long-horizon reasoning and execution. Technical Requirements (Must-Have) ✅ Education & Experience Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. 5–10 years of software development experience in cloud environments; 2+ years hands-on with agentic AI or LLM deployment. ✅ Agentic AI Development Experience building and deploying multi-agent AI systems . Knowledge of supervisor/sub-agent orchestration patterns . Hands-on with LangChain, LangGraph, LangSmith . Proficient in RAG pipelines, memory management, and agent evaluation . ✅ Programming & Infrastructure Strong Python skills with backend API integration experience. Familiarity with containerized deployment (Docker, Kubernetes) and CI/CD pipelines . Experience with AWS or similar cloud platforms. ✅ Performance & Monitoring Design and implement evaluation pipelines (grounding accuracy, reasoning robustness, tool reliability). Knowledge of monitoring and observability tools like Prometheus, Grafana, or Datadog. Optimize AI systems for scalability, low latency, and high throughput . Responsibilities Build, deploy, and optimize multi-agent AI systems integrating enterprise workflows. Implement RAG pipelines, long-term memory, and multi-step reasoning . Collaborate with AI researchers and engineers to operationalize models in production. Monitor and fine-tune agent performance in cloud environments. Preferred Experience Contributions to open-source AI projects. Experience with reinforcement learning, planning algorithms, or autonomous reasoning. Knowledge of semiconductor tool integrations. Apply: sasha@talenttohire.com Follow us here for more jobs : https://www.linkedin.com/company/talenttohire