Lead AI Integration Engineer
Tasks
- Collaborate with product, design, and engineering teams
- Consume API outputs for data classification and extraction
- Design build and deploy intelligent backend services
- Drive agentic SDLC tool rollout usage and governance
- Enforce redact before model data handling
- Engineer retrieval augmented generation pipelines
- Establish responsible AI guardrails safety testing and model governance
- Evaluate emerging LLM tooling and agentic frameworks
- Identify AI automation opportunities and build prototypes
- Implement evaluation frameworks for correctness boundary and intent
- Integrate AI outputs into end user workflow
- Mentor junior engineers and promote secure responsible AI coding
- Own agent orchestration tool integration retrieval and human in the loop design
- Select evaluate fine tune and guide Gen AI usage
- Troubleshoot prompt injection risks model latency and data leakage
Perks/Benefits
- Bereavement leave
- Direct Deposit Payroll
- Discounts in local shops
- Graduation leave
- Life insurance
- Marriage leave
- Maternity leave
- Medical insurance
- Paid Holidays
- Paid professional certifications
- Paid sick leave
- Paid vacation
- Paternity leave
- Productivity bonus
- Remote-first approach
Skills/Tech-stack
AI Foundry | API Integration | Agent Orchestration | Agile | Anthropic Claude | Anthropic Claude API | Azure AI | Azure AI Foundry | Claude API | Data anonymization | Data handling | Embeddings | Fine Tuning | Gemini API | Human-in-the-loop | Langchain | Language Models | Large Language Models | Llamaindex | Model Context Protocol | Model Evaluation | OpenAI API | PII Redaction | Prompt engineering | Prompt injection | Prompt injection mitigation | Python | RAG Pipelines | Retrieval-Augmented Generation | Secure Data | Secure Data Handling | Security Engineering | The Loop | Tool-Calling | Vector Databases
Education
N/A
Roles
AI | AI Engineer | AI Integration Engineer | Engineer | Integration Engineer | Lead | Lead AI Engineer
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