Back
Generalist AI role, metro location, mid-level experience range, and broad skill requirements increase competition.
Core AI/LLM development skills transfer across industries, but agentic and RAG expertise increases domain specificity.
Explicit 0-5 years plus mandatory hands-on LLM, LangChain, Python and RAG skills make screening moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deploy AI-powered applications including Generative AI, LLM-based chatbots, AI agents, and intelligent automation workflows.
Integrate AI models with APIs, databases, and enterprise systems to build practical AI business process automations and decision support solutions.
Rapidly prototype and convert AI use cases from idea to production-ready solutions with focus on hands-on AI engineering and innovation.
Strong hands-on Python development skills with experience in Generative AI, LLMs, and AI agent development.
Experience using OpenAI or similar LLM APIs and knowledge of prompt engineering and RAG systems.
Hands-on development experience with AI integration including REST APIs, backend frameworks (FastAPI/Flask), SQL databases, and container technologies like Docker.
Work Experience Required: 0–5 years of demonstrated hands-on AI development through projects or equivalent practical application.
Capable of independently taking AI solutions from prototype to operational deployment emphasizing practical implementation over theoretical knowledge.
Experience with multi-agent AI architectures and evolving AI frameworks such as LangChain, AutoGen, or similar.
Demonstrates actual AI development accomplishments through production projects, client work, or open-source contributions rather than relying solely on years of software experience.