Sr AI Engineer (Generative AI & Pharmacovigilance)
Tasks
- Build RAG based applications with vector databases
- Build generative AI applications with LLM platforms
- Deploy AI models and GenAI applications to production
- Design develop deploy AI/ML solutions
- Develop AI agents and workflow automation
- Develop data pipelines for PV structured and unstructured data
- Develop prompt engineering frameworks and evaluation
- Ensure compliance with GxP GVP and regulatory standards
- Fine-tune domain-specific models
- Implement LLM and agentic AI evaluation strategies
- Implement monitoring drift detection and performance optimization
- Implement observability and telemetry with OpenTelemetry
- Implement responsible AI and model governance
- Integrate REST APIs into AI workflows
- Maintain secure compliant AI infrastructure
- Support AI validation audit readiness and traceability
- Support CI CD automated deployment pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Azure OpenAI | CI/CD | CrewAI | Deep learning | Docker | Fine Tuning | GCP | Generative AI | Kubernetes | LLM Fine-tuning | Langchain | Llamaindex | MLflow | Machine Learning | NLP | OpenAI API | OpenTelemetry | PostgreSQL | Prompt engineering | Python | RAG Architecture | REST APIs | SQL | Semantic Search | Transformer Models | Vector Databases
Education
Roles
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