Generative AI Engineer (Junior - Senior)
Core
Design, build, and deploy autonomous agentic applications and multi-agent systems that reason, plan, and execute complex tasks using LLMs.
Role type
Generative AI Engineer (Agentic Applications)
Builds
Autonomous agents, multi-agent systems, and tool interfaces for external APIs and databases.
Domain
Generative AI, Large Language Models (LLMs), Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, asynchronous programming, API development, Large Language Models (LLMs), RAG, fine-tuning, agent frameworks, Azure/AWS/GCP, Docker, Kubernetes, serverless technologies, MLOps/LLMOps
Preferred skills
Prompt engineering, system architecture for multi-agent coordination, cloud cost-optimization
Technologies
Python, FastAPI, Flask, Azure, AWS, GCP, Docker, Kubernetes, Azure Functions, AWS Lambda, GCP Cloud Run
Responsibilities
Design and implement autonomous agents and multi-agent systems; Create robust tools and interfaces for agent interaction; Architect scalable multi-agent systems; Develop, test, and optimize prompts for LLM behavior; Deploy and maintain AI applications on cloud platforms; Integrate agentic solutions into product ecosystems; Experiment with new Generative AI frameworks.
Seniority
Junior to Senior