Senior Full Stack AI Engineer/LLM - Pharma Industry
Tasks
- Build RAG solutions for enterprise data
- Create enterprise integrations
- Design and develop LLM powered capabilities
- Design cloud-native microservices and APIs
- Develop scalable backend services
- Implement agentic AI workflows
- Implement knowledge graphs and graph RAG
- Improve quality performance and scalability
- Orchestrate multi provider LLM workflows
Perks/Benefits
- Certification coverage
- Flexible time off for appointments
- Flexible work model (hybrid)
- Free emotional legal and family support
- Free language courses
- Full coverage for sick leave
- Gym discounts or sports compensation
- Private health insurance
- Referral bonus
Skills/Tech-stack
AI Services | Amazon Bedrock | Anthropic | Azure AI | Azure AI Services | Azure OpenAI | CI/CD | Cloud Native | Cloud Native Microservices | Docker | Embeddings | FastAPI | Google Gemini | Haystack | Java | Knowledge graphs | Kubernetes | Langchain | Langfuse | Node.js | OpenAI | OpenShift | PostgreSQL | Prompt orchestration) | Python | Retrieval-Augmented Generation | Rust | Semantic chunking | Snowflake | TypeScript | Vector Search
Education
N/A
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