





Junior AI role with popular LLM skills attracts moderate applicant density despite small employer brand.
LLM and ML engineering skills are broadly transferable across industries and roles.
Explicit 1–2 years requirement plus specific LLM, LangChain and vector DB skills make filtering stringent.
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Develop, implement, and fine-tune AI/ML models and Generative AI solutions using OpenAI, Gemini, Claude, or similar Large Language Models.
Design and optimize AI prompts and integrate AI-powered applications with web applications and APIs, including use of vector databases and Retrieval-Augmented Generation (RAG).
Research and evaluate new AI technologies, prepare data for AI training, maintain AI applications, and collaborate with software developers for product integration.
Strong knowledge of Python and experience with AI platforms such as OpenAI API, Gemini API, or Claude API.
Familiarity with AI orchestration frameworks like LangChain or LlamaIndex and experience with REST API integrations.
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field.
1 to 2 years of experience in AI/ML or Python Development.
Proven ability to work hands-on with LLMs and AI frameworks in a developmental environment, handling prompt engineering and model fine-tuning.
Experience in integrating AI features into software products in collaboration with developers and working with vector databases for RAG solutions.
Comfortable operating in dynamic teams focused on researching and implementing new AI technologies and frameworks.