Lead AI Integration Engineer
Tasks
- Collaborate with product, design, and engineering teams
- Consume API outputs for data classification and extraction
- Design build deploy intelligent backend services
- Drive adoption of agentic SDLC
- Enforce redact before model data privacy
- Engineer optimize RAG pipelines for SOPs
- Establish responsible AI guardrails safety testing and governance
- Evaluate emerging LLM tooling and agentic frameworks
- Identify AI-driven automation opportunities
- Implement evaluation frameworks for LLM and agents
- Integrate AI outputs into end user workflow
- Mentor junior engineers
- Own agent orchestration and tool integration
- Select evaluate fine tune LLMs and agents
- Troubleshoot prompt injection risks model latency data leakage
Perks/Benefits
- Bereavement leave
- Direct deposit of 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
- Remote-first work flexibility
Skills/Tech-stack
AI Foundry | API Integration | Agile | Agile Software Development | Agile software | Anthropic Claude | Azure AI | Azure AI Foundry | CI/CD | Data anonymization | Embeddings | GitHub Actions | Google Gemini | Infrastructure as Code | LLM | Langchain | Llamaindex | MLflow | Matplotlib | Model Context Protocol | Observability | OpenAI API | PII Redaction | Plotly | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Seaborn | Security Engineering | Software development | TensorFlow | Tool-Calling | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineer | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | Lead AI Engineer
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