Enterprise Generative AI Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+5 more
Job description
We are looking for an Enterprise Generative AI Engineer to develop production-ready AI solutions integrating LLMs with enterprise applications. The ideal candidate should have experience with AI SDKs, workflow automation, enterprise integration, and modern AI observability., · Develop enterprise AI applications.
· Build AI copilots and AI assistants.
· Integrate LLMs with CRM, ERP, and enterprise platforms.
· Develop AI SDK integrations.
· Build RAG and semantic search applications.
· Develop AI APIs using FastAPI.
· Deploy AI applications using Docker and Kubernetes.
· Monitor AI applications using LangSmith and OpenTelemetry.
· Implement enterprise AI security.
Requirements
· Python
· Generative AI
· LLMs
· OpenAI
· Anthropic Claude
· Google Gemini
· Hugging Face
· Prompt Engineering
· RAG
· LangChain
· LangSmith
· AI SDKs
· FastAPI
· REST APIs
· Docker
· Kubernetes
· Vector Databases
· Enterprise Integration
· Azure
· AWS
Preferred Skills:
· MCP (Model Context Protocol)
· CrewAI
· Semantic Kernel
· AI Evaluation Frameworks
· AI Governance
· AI Observability
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
MLOps And AI Driven Development
How To Use ChatGPT To Make Money
Dev Digest 137 - AI'm not sure about this
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud