Senior GenAI Engineers
Tasks
- Apply prompt engineering for specific use cases
- Build RAG pipelines with vector stores and reranking
- Deploy AI systems with MLOps
- Design and build GenAI and agentic systems
- Evaluate and monitor AI models observability
- Implement chunking hybrid search and vector retrieval
- Implement safety guardrails and PII redaction
- Lead end to end delivery for production AI systems
- Mentor junior engineers and collaborate with clients
- Select integrate and fine tune LLMs and multimodal models
Perks/Benefits
- N/A
Skills/Tech-stack
Autogen | CI/CD | Classification | CrewAI | Deep learning | Evaluation | Guardrails | Hybrid search | LLM | Langchain | Langgraph | MLOps | Machine Learning | Milvus | NLP | Object Detection | Observability | Open Source | Open-source Models | PGVector | PII Redaction | Pinecone | Prompt engineering | Python | RAG | Redis | Reranking | SQL | Semantic Kernel | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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