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Popular junior AI role with 1–3 years and broad ML/LLM skills, small-consulting brand reduces density.
Core AI/ML, LLM, and backend skills are broadly transferable across industries.
Multiple mandatory ML, LLM, backend, and vector DB skills plus explicit 1–3 year requirement.
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Design, develop, and maintain AI-powered applications including LLM-based solutions and Retrieval-Augmented Generation (RAG) pipelines.
Build scalable backend services with REST APIs using Django or Flask and integrate vector databases for AI applications.
Collaborate with product managers and engineers to deliver AI solutions, perform code reviews, and research emerging AI technologies.
Bachelor's degree in Computer Science Engineering, Artificial Intelligence, Data Science, Information Technology, or related field.
1–3 years of experience in AI/ML application development.
Strong Python programming skills and knowledge of Machine Learning and Deep Learning concepts.
Experience with LLMs, RAG architectures, frameworks like LangChain or Hugging Face, vector databases (e.g., ChromaDB, FAISS), and backend development using Django/Flask.
Experienced in end-to-end AI product development combining AI model tuning and backend API development.
Comfortable working with modern AI frameworks, LLM APIs, and integrating vector databases in scalable applications.
Skilled in collaborating across teams to implement innovative AI solutions with a focus on performance and maintainability.