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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote role, mid-level (3–6 years), generalist AI title, and metro locations increase competition.
Specialized LLM/AI skillset creates high domain bias and reduces transferability across non-ML roles.
Explicit 3–6 years plus many mandatory LLM/tech skills (Python, FastAPI, PyTorch, RAG) raises strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy advanced generative AI and conversational AI models integrated into production environments.
Build and manage autonomous AI agents and sophisticated agentic workflows to automate complex business logic.
Collaborate with data engineers to preprocess large datasets, optimize AI model performance, and stay current with GenAI and LLM advancements.
Minimum Requirements
Bachelor's, Master's, or PhD in Computer Science, Data Science, or related field required.
3 to 6 years of experience in building ML/AI models with focus on modern LLM implementations.
Proficiency in Python and AI/LLM libraries (transformers, vLLM, accelerate, PEFT/LoRA, DSPy).
Experience with FastAPI or Flask for deploying AI models in production.
Ideal Candidate Profile
Experienced in architecting scalable production-ready AI pipelines utilizing LLMs and agentic frameworks like LangChain or LlamaIndex.
Strong technical expertise with LLM orchestration, vector databases, RAG pipelines, and cloud deployment (AWS, Azure, or GCP).
Skilled in fine-tuning and deploying foundation deep learning models (TensorFlow or PyTorch) and familiar with modern developer tools and security protocols (e.g., Model Context Protocol).