Position Overview

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 fast-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

Experience shipping an agentic system involving tool calling, multi-turn state and failure handling

Experience building or maintaining an evaluation set for LLM output

Production prompt engineering and structured-output parsing expertise

Experience building one RAG stack end to end

REST API development using FastAPI or similar frameworks

Relational database fundamentals and ability to write non-trivial SQL queries

Tech, M.Tech, MCA, or equivalent education

Preferred

Agent harness engineering, including execution environments, sandboxing, permissions, context management, retries, interrupts and sub-agent spawning

Agent control-loop design, including self-verification, stopping criteria, turn limits and recoverable error handling

Experience with LangGraph, Strands, MCP or AWS Bedrock AgentCore

Familiarity with Braintrust, LangSmith, Promptfoo, DeepEval or equivalent evaluation tooling

Life sciences or pharma data exposure

Front-end development for internal tools using HTML, JavaScript, charting libraries or React

Experience with Docker, ECS or Kubernetes

What We Offer

Opportunity to work on cutting-edge AI systems with direct impact on pharmaceutical and life sciences decision-making

Collaborative environment with a team of technology and domain experts

Clear career progression path with mentorship from senior technical leaders

Professional development opportunities including training, and certifications

Competitive compensation package with comprehensive advantages

Flexible hybrid working arrangement at our Gurugram office

📌 AI Engineer (Gurugram)
🏢 Prescient Healthcare Group
📍 Gurugram