AI Engineer and Data Specialist
Core
Design, build, and optimize LLM pipelines, RAG systems, and agentic workflows to translate ambiguous requirements into structured AI tasks.
Role type
Mid-level AI Engineer (LLM & RAG)
Builds
Production-ready LLM pipelines, RAG systems, and agentic workflows
Domain
Generative AI, Large Language Models, Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, LLM/AI APIs, vector databases, hybrid retrieval, agentic workflows, function-calling, model evaluation, lightweight fine-tuning (LoRA), backend development (FastAPI), document ingestion
Preferred skills
None stated
Technologies
FastAPI, vector databases, vLLM, TGI, Ollama, GPUs, pandas, NumPy, Looker Studio, Metabase, Power BI, Tableau
Responsibilities
Design and optimize LLM pipelines including retrieval, context assembly, and tool-calling; Develop RAG systems with metadata design and chunking strategies; Build agentic workflows capable of reasoning and planning; Evaluate model performance using structured test suites and synthetic data; Diagnose and mitigate failure modes like hallucinations; Prepare unstructured documents for ingestion and indexing; Support deployment across cloud or on-prem infrastructure.
Seniority
Mid-level, hands-on IC