Senior GenAI Engineer
Tasks
- Apply prompt engineering for specific use cases
- Collaborate with clients and stakeholders
- Deploy GenAI systems with MLOps
- Design and build GenAI and agentic systems
- Evaluate and monitor model performance with observability
- Implement chunking hybrid search vector retrieval re ranking and feedback loops
- Implement safety guardrails and PII redaction
- Lead end to end delivery and mentor engineers
- Select integrate and fine tune LLMs and multimodal models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Autogen | Azure | CI/CD | Classification | CrewAI | Deep learning | Evaluation | Fine Tuning | GCP | Guardrails | Hybrid search | LLM Fine-tuning | Langchain | Langgraph | Language Processing | MLOps | Machine Learning | Milvus | Natural Language | Natural Language Processing | Object Detection | Observability | PGVector | PII Redaction | Pinecone | Python | RAG | Re-ranking | Redis | SQL | Semantic Kernel | Vector Database
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