AI Engineering Lead
Tasks
- Apply observability and security best practices
- Build AI automation systems
- Build Agentic AI workflows
- Build scalable AI services and APIs
- Collaborate with architects on platform alignment
- Create evaluation and validation plans
- Design production-ready LLM applications
- Develop RAG pipelines
- Develop prompt engineering strategies
- Ensure AI governance and reliability
- Implement AI orchestration layers
- Implement context management
- Integrate AI into enterprise systems
- Integrate tool calling for AI agents
- Participate in hiring and technical interviews
- Prototype and productionize AI capabilities
- Provide technical leadership and mentoring
- Run monitoring and feedback loops
- Translate business needs into AI solutions
Perks/Benefits
- Flexible schedule
- Half-day off monthly
- No meetings time for deep work
- Positive wellbeing culture
- Professional growth opportunities
- Team support
Skills/Tech-stack
AI Automation | AI Governance | AI Security | AI orchestration | API Development | AWS Bedrock | Agentic AI | Cloud Computing | Context Management | Evaluation | LLM Applications | Langchain | Langgraph | Language Models | Large Language Models | Monitoring | Observability | Prompt engineering | Python | RAG | Structured Output | Tool-Calling | Validation | Vector Databases
Education
N/A
Regions
Countries
States
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