Senior GenAI Engineer
Tasks
- Apply prompt engineering techniques
- Build GenAI/agentic systems
- Collaborate with stakeholders
- Deploy LLM models in production
- Document results
- Evaluate LLM outputs
- Implement chunking and hybrid search
- Implement guardrails and policy filters
- Integrate and fine tune LLMs and multimodal models
- Perform unit testing for GenAI solutions
- Redact PII and monitor agents
- Set up feedback loops and continuous evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Autogen | Azure | Computer Vision | CrewAI | Deep learning | DevOps | Google Cloud | Human-in-the-loop | Hybrid search | LLM Evaluation | Langchain | Langgraph | Langsmith | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Object Detection | Observability | Open Source | Open-source Models | Pinecone | Prompt engineering | Python | Qdrant | Re-ranking | SQL | Semantic Kernel | The Loop | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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