Applied AI Engineer
Tasks
- Build AI applications for business workflows
- Build and operate MCP servers
- Collaborate with teams to extract workflow requirements
- Configure and deploy AI systems
- Create CLI automation and tooling
- Deploy and operate services on Linux
- Develop agent tooling used by teams
- Integrate vendor LLMs into production systems
- Maintain and sunset AI projects
- Secure applications at design time
Perks/Benefits
Skills/Tech-stack
AI Agents | Access Management | Agent Frameworks | CLI automation | DevOps | Egress Control | Identity and Access Management | Identity and access | LLM integration | LLM integrations | Langchain | Language Models | Large Language Models | Linux | MCP | Network Security | OpenAI GPT | Python | Rust | Sandboxing | Secrets management | System Integration | TypeScript | Vendor LLM Integrations
Education
N/A
Roles
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