AI Engineer

Jobtailor

Gurugram District

On-site

INR 1,800,000 - 2,800,000

Full time

14 days+

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Job summary

Jobtailor in Gurugram, India is seeking an experienced AI systems engineer to design agentic AI systems that query external data sources and process pharma and biotech information. You will build robust retrieval pipelines over life sciences content and collaborate with data scientists to enhance AI performance.

You will also develop production-grade prompts and structured-output parsing, create dashboards for analysts and clients, and build end-to-end RAG stacks to improve knowledge retrieval

Qualifications

Production Python development experience in a professional setting.
Experience shipping agentic systems with tool calling and multi-turn state handling.
Experience building or maintaining evaluation sets for LLM outputs.
Production prompt engineering and structured-output parsing expertise.
Experience building an end-to-end RAG stack.

Responsibilities

Design and implement agentic AI systems querying external data sources for pharma/biotech info.
Develop robust retrieval pipelines over life sciences content.
Create evaluation harnesses to ensure AI accuracy, reliability, and ethics.
Engineer production-grade prompts and parsing mechanisms.
Build and optimize RAG stacks to improve domain content retrieval.
Develop REST APIs to integrate AI into product ecosystem.
Design dashboards to communicate AI insights to analysts and clients.
Collaborate with data scientists to improve AI performance.

Skills

Production Python

Async Python

Typed Python

Testing

REST API

Prompt Engineering

Structured-Output

SQL Queries

Front-End Dev

Education

Tech Degree

M.Tech Degree

MCA Degree

Tools

FastAPI

LangGraph

AWS Bedrock

Docker

Kubernetes

HTML

JavaScript

React

Charting Libs

DeepEval

Job description

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 communicate AI-generated insights to analysts and clients
Collaborate with data scientists and domain experts to 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

Requirements

3–4 years of 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
Preferred: 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

Core Competencies

Demonstrates expertise in developing agentic AI systems and robust retrieval pipelines for pharmaceutical and biotech information, with a strong focus on Python programming, REST API development, and evaluation harnesses for AI performance. Proficient in collaborating with cross-functional teams to enhance AI capabilities and deliver insights effectively.

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