Data Science Engineer Intern
Core
Build and ship production AI/ML capabilities, LLM integrations, RAG pipelines, and agent workflows for an enterprise AI platform.
Role type
ML / AI Engineer (Intern)
Builds
AI agents, RAG pipelines, LLM-powered applications, and production APIs
Domain
Enterprise AI, Large Language Models, Automation
Deliverable
production ML models
Required skills
Python, Software Engineering, LLM APIs, Prompt Engineering, Embeddings, Vector Search, RAG, Context Management, AI Evaluation, SQL
Preferred skills
LangChain, LlamaIndex, Hugging Face, Pandas, NumPy, Scikit-learn, Vector Databases, Docker, Kubernetes, CI/CD, Fine-tuning
Technologies
FastAPI, Flask, Django, OpenAI, Anthropic, Gemini, PostgreSQL, MongoDB, Redis, Pinecone, Qdrant, Weaviate, pgvector, PyTorch, TensorFlow
Responsibilities
Build and integrate AI/ML capabilities using Python; Develop and improve LLM-powered applications and AI agents; Build and maintain RAG pipelines; Design prompts, system instructions, and evaluation frameworks; Develop AI services and APIs; Monitor and troubleshoot AI systems in production; Optimize AI applications for performance, reliability, scalability, and cost.
Seniority
Intern
