Manager, AI Engineering
Core
Lead end-to-end delivery of AI-centric projects focusing on AI agents, Retrieval-Augmented Generation (RAG) systems, and automated decision workflows.
Role type
Manager, AI Engineering
Builds
Scalable AI systems, autonomous agents, and RAG pipelines for enterprise applications.
Domain
Generative AI, NLP, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
AI agents, RAG systems, LLM integration, vector databases, MLOps, cloud-native technologies, containerization, CI/CD, Python
Preferred skills
JavaScript/TypeScript, prompt engineering, evaluation metrics, MLOps tools, observability stacks
Technologies
LangChain, LangGraph, Dify, Pinecone, Milvus, Chroma, FAISS, Weaviate, OpenAI, Anthropic, Alibaba Qwen, AliCloud, AWS, Docker, Kubernetes, Terraform, GitLab CI, GitHub Actions, Jenkins, MLflow, Kubeflow, Vertex AI, Prometheus, Grafana, LangSmith
Responsibilities
Lead end-to-end delivery of AI projects; Architect and oversee implementation of RAG pipelines; Coordinate hybrid teams of engineers and vendors; Mentor junior engineers in AI/ML best practices.
Seniority
Manager, hands-on technical leadership
