Lead AI Integration Engineer
Tasks
- Build retrieval-augmented generation pipelines
- Collaborate with product and engineering teams on AI feature delivery
- Consume API outputs for data classification and extraction
- Design build and deploy backend services using Python and Azure AI Foundry
- Drive adoption of agentic SDLC and tools
- Enforce redact before model discipline for PII
- Evaluate LLM and agentic systems with testing frameworks
- Implement responsible AI guardrails and human oversight
- Integrate LLM based agent systems in production
- Lead end to end AI solutions for clients
- Mentor junior engineers on secure responsible AI
- Select evaluate fine tune and deploy LLMs
- Troubleshoot prompt injection model latency and data leakage
Perks/Benefits
- Direct deposit of payroll
- Discounts in local shops
- Life insurance
- Maternity leave
- Medical insurance
- Paid Holidays
- Paid professional certifications
- Paid sick leave
- Paid vacation
- Paternity leave
- Remote-first work
Skills/Tech-stack
AI Act | AI Foundry | AI RMF | Agent Orchestration | Agile | Anonymization | Anthropic Claude | Azure AI | Azure AI Foundry | CI/CD | Data Privacy | EU AI | EU AI Act | Embeddings | Function Calling | GitHub Actions | Google Gemini | Infrastructure as Code | LLM APIs | Langchain | Language Models | Large Language Models | Llamaindex | MLflow | Matplotlib | Model Context Protocol | NIST AI | NIST AI RMF | Observability | OpenAI | PII Redaction | Plotly | Prompt engineering | Prompt injection | PyTorch | Python | RAG Pipelines | Retrieval-Augmented Generation | Scikit-learn | Seaborn | Security Engineering | TensorFlow | Tool-Calling | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineer | AI Engineering | AI Engineering Manager | Engineer | Engineering Manager | Lead | Lead AI Engineer | Manager
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