Senior GenAI Engineer
Tasks
- Apply prompt engineering to use cases
- Build evaluation and observability for AI systems
- Collaborate with clients and stakeholders
- Configure safety guardrails and PII redaction
- Deploy AI systems using MLOps
- Design build and productionize GenAI and agentic systems
- Implement CI/CD pipelines
- Implement RAG pipelines and vector search
- Lead end-to-end AI delivery
- Mentor junior engineers
- Select integrate finetune LLMs and multimodal models
- Support presales and customer teams
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Autogen | Azure | CI/CD | Classification | Computer Vision | CrewAI | Deep learning | Evaluation | GCP | Hybrid search | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Milvus | Multimodal Models | NLP | Object Detection | Observability | Open Source | Open-source Models | PGVector | PII Redaction | Pinecone | Prompt engineering | Python | RAG | Re-ranking | Redis | SQL | Safety Guardrails | Semantic Kernel | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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