AI Senior Engineer
Tasks
- Add guardrails policy filters PII redaction and runtime monitoring
- Apply prompt engineering
- Build GenAI and agentic systems
- Build feedback loops and data quality evaluation
- Collaborate with clients and stakeholders
- Deploy models in production
- Develop LLM NLP and deep learning solutions
- Implement LLM evaluation and observability
- Implement chunking hybrid search vector stores and re ranking
- Select integrate fine tune LLMs and multimodal models
- Unit test GenAI solutions and document results
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Amazon Web Services | Autogen | Azure | Cloud platform | Computer Vision | CrewAI | Deep learning | DevOps | Google Cloud | Google Cloud Platform | Guardrails | Human-in-the-loop | Hybrid search | LLM Evaluation | Langchain | Langgraph | Langsmith | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Multimodal Models | Natural Language | Natural Language Processing | PII Redaction | Pinecone | Policy Filters | Prompt engineering | Python | Qdrant | Re-ranking | Runtime Monitoring | SQL | Semantic Kernel | The Loop | Vector Databases | Web Services
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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