AI Engineer

Requirements:
Skills: Docker, Generative AI, LLD, LLMs, Python.
(1-3) years of engineering experience, or a strong portfolio of shipped projects.
Solid Python fundamentals: clean, working, readable code.
Hands-on experience with LLM APIs and prompt engineering (personal projects count).
Comfort with Git, REST APIs, and working in a Linux environment.
A feel for content and narrative; you can judge whether generated output is actually good, not just valid.
Curiosity and clear communication: you ask good questions and don't stay stuck silently.
Preferred:
Exposure to agent/orchestration frameworks (LangGraph, LangChain, CrewAI).
Familiarity with vector databases, embeddings, or RAG (Qdrant, pgvector).
Hands-on work with open-source generative media models Flux, LTX, Wan, or similar.
Experience deploying open-source models for inference (vLLM, ComfyUI, Replicate/Cog, Docker + GPU).
Experience writing evals or LLM-as-judge scoring.
Node.js and FastAPI familiarity, or experience deploying on AWS.

Skills
large language model, Linux, LLM, prompt engineering, Python

Experience
1-3 yrs