AI Engineer

Prescient Healthcare

AI Engineer building agentic AI, RAG pipelines, APIs, and dashboards for Prescient’s pharmaceutical and life sciences competitive intelligence products. Delivering reliable LLM-driven insights to analysts and clients.

Posted 8/5/2026full-timeGurugram • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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.

Highest-signal resume keywords

Production Python DevelopmentREST API Development Using FastAPIPrompt Engineering and Structured-Output ParsingRAG Stack DevelopmentLife Sciences Data Exposure

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Python ProgrammingSQL Query WritingAgentic System DevelopmentEvaluation Set MaintenanceError Handling MechanismsMulti-Turn State ManagementRelational Database FundamentalsProduction-Grade Prompt EngineeringStructured-Output ParsingFront-End Development

Tools & Technologies

FastAPILangGraphAWS Bedrock AgentCoreDockerKubernetesHTMLJavaScriptReactCharting LibrariesDeepEval

Certifications & Qualifications

Tech DegreeM.Tech DegreeMCA Degree

Industry Keywords

Pharmaceutical DataBiotech InformationCompetitive IntelligenceAI System EvaluationAgent Control-Loop Design

Tech Stack

Tools & technologies

AWSDockerJavaScriptKubernetesPythonReactSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

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