Job Description
<h3>π Description</h3> 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. <h3>π― Requirements</h3> 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.