Job Url: https://www.remoterocketship.com/company/codvo-ai/jobs/senior-ai-engineer-remote-united-states-remote Job Description: Codvo.ai Website LinkedIn All Job Openings Codvo. ai is a technology company that specializes in delivering strategic enterprise solutions through advanced AI-driven innovation. They focus on transforming enterprise data into measurable value by helping businesses accelerate growth with custom AI implementations tailored to meet the specific challenges of various industries. Their extensive service offerings include AI/ML automation, application development, data analytics, cybersecurity, and digital transformation, ensuring that organizations can thrive in a rapidly evolving digital landscape. Artificial Intelligence β€’ Mobile Development β€’ Product and Design β€’ Web Development β€’ Remote Support 51 - 200 employees Founded 2019 πŸ”’ Cybersecurity ☁️ SaaS Senior AI Engineer - Remote 2 days ago πŸ‡ΊπŸ‡Έ United States – Remote ⏰ Full Time 🟠 Senior πŸ€– AI Engineer AWS Azure Cloud Docker Google Cloud Platform Grafana Kubernetes Prometheus Python PyTorch SQL Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. β€’ In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions. β€’ You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems. 🎯 Requirements β€’ 5+ years of experience in AI/ML engineering with end-to-end pipeline development. β€’ Hands-on experience building and deploying LLM/RAG systems in production. β€’ Strong experience with public cloud platforms (AWS, Azure, or GCP). β€’ Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch. β€’ Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph. β€’ Experience with RESTful API development and version control using Git. β€’ Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval. β€’ Familiarity with Docker, Kubernetes, and scalable microservice design. β€’ Experience with observability tools like Prometheus, Grafana, or Langfuse. Apply Now