Generative AI Engineer
Core
Build end-to-end Generative AI solutions from POC to production, serving as both a developer and advisory expert to help organizations transform their AI capabilities.
Role type
Generative AI Engineer (Developer & Consultant)
Builds
Production-grade GenAI microservices, multi-agent systems, and cloud-native AI applications
Domain
Professional Services / Generative AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Large Language Models (LLMs), Multi-Agent Systems, Prompt Engineering, Cloud Platforms (GCP/Azure/AWS), Microservices Architecture, API Development, Deep Learning Principles
Preferred skills
LangChain, Docker, Kubernetes, OCR Technologies, Data Pipelines
Technologies
Python, OpenAI, Anthropic, Google AI, LangChain, GCP, Azure, AWS, Docker, Kubernetes
Responsibilities
Build GenAI solutions from POC through production deployment; Design and implement production-grade microservices architectures; Deploy and manage GenAI solutions across cloud platforms; Assess and optimize production-grade GenAI systems for performance and scalability; Participate in technical discussions with clients to translate business visions into technical solutions; Continuously explore and evaluate new GenAI models and frameworks.
Seniority
Mid-level, hands-on IC
