Engineering Team Lead – AI Applications (Life Sciences)
Tasks
- Address LLM hallucinations
- Build agent planning tool use and reflection mechanisms
- Conduct architecture and code reviews
- Design and implement Agentic workflows
- Develop agent-based applications
- Develop multi agent collaboration mechanisms
- Establish AI-assisted development workflows
- Implement high precision information extraction
- Improve biomedical reasoning accuracy
- Lead LLM fine tuning or private deployment solutions
- Lead mentor and develop AI full stack engineering team
- Optimize prompts
- Own AI application architecture for life sciences domain
- Translate medical and pharmaceutical requirements into AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic Workflows | Agile | Autogen | Backend architecture | Cloud Native | Cloud-Native Deployment | CrewAI | Fine Tuning | Frontend architecture | Information Extraction | Java | LLM Fine-tuning | Langchain | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | Private Deployment | Prompt engineering | Python | TypeScript
Education
N/A
Roles
AI | AI Engineer | Engineer | Engineering | Engineering Team Lead | Lead | Team Lead
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