Manager

AXTRIA · Delhi

  • Experience8–15 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted22 Sept 2026
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About AXTRIA

AXTRIA is hiring in Delhi in pharma biotech. This role looks for around 8+ years of experience.

Skills

  • Generative AI
  • Large Language Models
  • GPT
  • Python
  • SQL
  • Azure
  • AWS
  • Data Science
  • Web Technologies
  • Generative AI frameworks
  • LangChain
  • Retrieval-Augmented Generation
  • Prompt Engineering
  • Databricks
  • Life Sciences Knowledge
  • Pharma domain knowledge

The role

A Generative AI Engineer at a pharmaceutical and life sciences company designs LLM-based systems using Generative AI and Retrieval-Augmented Generation, develops Python applications, and deploys solutions on Azure. The role also applies Data Science and SQL to move proof-of-concepts into production and guide business use cases.

Full job description

Position Summary

To be a technology expert architecting solutions and mentoring people in GenAI - LLM with prior expertise in the Pharma domain.

Job Responsibilities

Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT

Software development experience in python is needed as backend for UI based applications

Be a part of large delivery teams working on advanced projects when expert assistance is required.

Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production.

Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms

Can interact with client on GenAI related capabilities and use cases

Education

BE/B.Tech

Master's Equivalent in Statistics

Work Experience

Require 8-15 years experience to develop, test, and deploy Python based applications on Azure platforms

Must have basic knowledge on concepts of Generative AI / LLMs / GPT

Deep understanding of architecture and work experience on Web Technologies

Python, SQL hands-on experience

Good to have Databricks Genie

Design and develop LLM-based systems:

Build and deploy Generative AI solutions, often using frameworks like Langchain and techniques like Retrieval-Augmented Generation (RAG).

Model development and fine-tuning: Train, fine-tune, and refine large language models to meet specific business requirements or improve performance on particular tasks.

Integration: Collaborate with cross-functional teams to integrate LLM models into broader applications and products.

Prompt engineering: Develop and implement effective prompts to guide the LLM and improve the accuracy and relevance of its outputs.

Behavioural Competencies

Teamwork & Leadership

Motivation to Learn and Grow

Ownership

Cultural Fit

Talent Management

Technical Competencies

Lifescience Knowledge

SQL

Databricks

Python

Skills