Senior GenAI Engineers
Tasks
- Build RAG pipelines
- Collaborate with clients on presales and delivery
- Deploy GenAI systems with MLOps
- Design genai and agentic systems
- Develop prompt engineering workflows
- Implement chunking hybrid search vector stores and re ranking
- Implement safety guardrails and PII redaction
- Lead end-to-end AI delivery
- Mentor junior engineers
- Perform model evaluation and observability
- Select integrate and fine tune LLMs and multimodal models
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Autogen | CI/CD | Computer Vision | CrewAI | Deep learning | Evaluation | Guardrails | Hybrid search | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Milvus | NLP | Observability | Open Source | Open-source Models | PGVector | PII Redaction | Pinecone | Prompt engineering | Python | RAG | Re-ranking | Redis | SQL | Semantic Kernel | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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