Mid Level AI Engineer
Core
Design, develop, and deploy production-grade AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.
Role type
Mid-level Generative AI Engineer
Builds
Scalable AI-powered applications, intelligent agents, and cloud-native backend services
Domain
Generative AI, Large Language Models, Enterprise Software
Deliverable
production ML models | product features | infrastructure
Required skills
Python, REST API development, Microservices, LLM integration, RAG implementation, Vector databases, Cloud platforms (AWS/Azure/GCP), CI/CD, Git
Preferred skills
Multi-agent system frameworks (LangChain, CrewAI), Model Context Protocol, LLM observability tools, Containerization (Docker, Kubernetes), Frontend technologies
Technologies
OpenAI, Anthropic, Gemini, Azure OpenAI, Pinecone, Weaviate, Chroma, Qdrant, FAISS, LangChain, LangGraph, CrewAI, AutoGen, LangSmith, Langfuse, Arize, Docker, Kubernetes, React, TypeScript
Responsibilities
Design and build AI-powered applications using LLMs and Generative AI frameworks; Develop and optimize RAG solutions leveraging vector databases; Create intelligent AI agents and workflows interacting with APIs and business systems; Build scalable REST APIs and cloud-native architectures; Collaborate with cross-functional teams to translate business requirements into AI solutions
Seniority
Mid-level, hands-on IC