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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, popular prompt-engineer role with broad full-stack plus LLM requirements increases applicant competition.
LLM and prompt-engineering skills are transferable, but mandatory TypeScript/Python full-stack experience raises domain specificity.
Explicit four-year requirement plus mandatory Python, TypeScript, and LLM experience creates strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Develop, automate, and maintain AI/ML solutions focusing on prompt engineering and model evaluation for large language models (LLMs).
Implement backend logic and APIs primarily using Python and TypeScript to support AI applications and services.
Optimize NLP pipelines including embeddings and vector search to enhance model performance and integration.
Minimum Requirements
Minimum 4 years of professional experience in AI/ML, NLP, software engineering, or related areas.
Strong hands-on expertise in Python and TypeScript is mandatory.
Practical experience with large language models (LLMs), prompt engineering, and model evaluation.
Solid understanding of NLP concepts, embeddings, and vector search pipelines.
Ideal Candidate Profile
Has significant practical experience in integrating AI capabilities into backend systems using Python and TypeScript.
Experienced working with LLM orchestration frameworks and comfortable with prompt engineering techniques.
Familiarity with modern AI infrastructure components such as APIs, automation scripting, and data processing workflows.