AI Engineer

Prescient Healthcare Group; Gurugram District; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work Gurugram

Collaboration with domain experts

Professional development opportunities

Competitive compensation

Job summary

Prescient is seeking an AI Engineer to design and deploy GenAI and agentic AI systems powering competitive intelligence for pharma and life sciences. You will build LLM agents, retrieval pipelines, evaluation frameworks, and APIs and dashboards for analysts and clients.

You will work in a fast-paced environment with real users, tight feedback loops, and short release cycles, contributing to Prescient's technology-driven competitive advantage in the life sciences consulting sector.

Qualifications

• 34 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.
• B.Tech, M.Tech, MCA, or equivalent education.

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 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.

Skills

Python production

Async & typed code

LLM agent design

Tool calling

Retrieval pipelines

REST API development

SQL queries

Education

B.Tech

M.Tech

MCA

Tools

FastAPI

Docker

Kubernetes

LangGraph

Strands

Job description

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

• 34 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
• B.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 benefits
• Flexible hybrid working arrangement at our Gurugram office