As an AI Engineer at Prescient, you will build and deploy GenAI / agentic AI systems that power our competitive intelligence products in the pharmaceutical and life sciences space. Your role involves developing LLM agents that query external data sources, creating retrieval pipelines over specialized content, implementing evaluation frameworks, and building APIs and dashboards that deliver insights to analysts and clients. You will work in a quick-paced environment with tight feedback loops, real users, and short release cycles, directly contributing to Prescient's technology-driven competitive advantage in the life sciences consulting sector.
Example Responsibilities
- Design and implement agentic AI systems that query external data sources and process pharmaceutical and biotech information
- Develop robust retrieval pipelines over specialized life sciences content to extract valuable competitive intelligence
- Create and maintain evaluation harnesses to ensure accuracy, reliability, and ethical operation of AI systems
- Engineer production-grade prompts and structured-output parsing mechanisms for consistent AI performance
- Build and optimize RAG (Retrieval-Augmented Generation) stacks to enhance knowledge retrieval from domain-specific content
- Develop REST APIs using FastAPI or similar frameworks to integrate AI capabilities into Prescient's product ecosystem
- Design and implement dashboards that effectively communicate AI-generated insights to analysts and clients
- Collaborate with data scientists and domain experts to continuously improve AI system performance and relevance
- Write clean, typed, and well-tested Python code following best practices for maintainability and scalability
- Troubleshoot complex issues in multi-turn agent interactions and implement robust error handling mechanisms
Education, Experience, Knowledge & Other Skills
Required
- 3-4 years experience writing production Python, including async, typed and tested code
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📌 Ai Engineer (Gurugram)
🏢 Prescient Healthcare Group
📍 Gurugram
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