AI Engineer (LLMs, Agents & Applied Data Science)
Core
Build and deliver client-facing AI solutions combining traditional machine learning with generative AI (LLMs, RAG, agents) and data science.
Role type
Mid-level hands-on AI Engineer (LLMs, Agents & Applied Data Science)
Builds
Production-ready AI components, GenAI features, and data science models for client projects
Domain
Consulting / Applied AI / Generative AI
Deliverable
production ML models | product features
Required skills
Python, data preparation, feature engineering, model training, LLM prompting, RAG, agent orchestration, MLOps/LLMOps basics, code documentation, peer mentoring
Preferred skills
Azure cloud platforms, advanced MLOps/LLMOps, consulting delivery experience
Technologies
Python, LLMs, RAG frameworks, agent frameworks, Azure
Responsibilities
Build, test, and deploy AI/ML components per senior designs; Develop GenAI and LLM-based features; Execute classical data science tasks; Translate designs into production code; Contribute to model evaluation and monitoring; Guide junior resources; Support peers and communicate work to clients
Seniority
Mid-level, hands-on IC with mentorship duties
