Manager, GenAI SW Engineer

MSD; Hyderabad; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

MSD in Hyderabad is seeking a Manager, GenAI SW Engineer to lead the integration of AI models into production systems. You will collaborate with cross‑functional teams to deliver AI‑driven solutions that advance global healthcare.

The role requires strong Python skills, CI/CD experience, and a solid background in AI/ML concepts. Join a dynamic team focused on scalable, data‑driven software in a global tech environment.

Qualifications

• Bachelor's degree in CS/IT or related field.
• 2 years of AI engineering experience.
• Strong Python programming skills.
• Experience building scalable AI solutions in cloud environments.

Responsibilities

• Write efficient, maintainable code following best software practices.
• Work with DevSecOps tools for deployment and versioning.
• Research and analyze retrieval techniques, language models, and generative AI methodologies.
• Collaborate with data engineers to ensure data pipeline efficiency and accuracy.
• Refine retrieval augmented generation methods through experimentation and feedback.
• Experiment with retrieval strategies to augment generative AI models.
• Optimize AI models for performance and scalability.
• Collaborate with product managers, data scientists, and software engineers to deliver AI-driven solutions.
• Document AI models, algorithms, and processes thoroughly.
• Prepare technical reports and presentations of results.
• Stay updated with advancements in AI/ML technologies.
• Participate in Agile ceremonies and automated testing/monitoring.

Skills

Python

CI/CD

RESTful APIs

RAG

AI/ML concepts

Prompt engineering

Data pipelines

Cloud services

Education

Bachelor's degree in Computer Science or related field

Tools

Cloud platforms

Data pipelines

Database systems

DevSecOps tools

Job description

Job Description

Manager, GenAI SW EngineerThe OpportunityBased in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision‑making, and which creates custom software, allowing us to tackle some of the worlds greatest health threats.Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to other sites, are essential to supporting our business and strategy.A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well‑being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.

Role Overview

The AI Engineer will redefine whats possible and unleash the potential of Artificial Intelligence. Reporting to the Director of Engineering in Hyper automation & AI within our Chief Technology Officer, this position is responsible for integrating AI models into production systems to ensure seamless operation for our company. The ideal candidate is a tenacious problem solver with the keen ability to move with urgency to create sustainable solutions.Join our team as we pioneer innovative solutions that redefine the boundaries of pharmaceutical advancements on a global scale. Take this incredible opportunity to shape the future of healthcare and leave a lasting impact on the well‑being of individuals worldwide.

What Will You Do In This Role

• Write efficient and maintainable code following best practices in software engineering.
• Working with DevSecOps tools for deploying and versioning code.
• Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies.
• Collaborate with data engineers to ensure data pipeline efficiency and accuracy.
• Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback. This will include embedding, chunking, loading, and search algorithm setup.
• Experiment with different retrieval strategies, including information retrieval, nearest‑neighbor searches, or knowledge graph‑based retrievals, to augment generative AI models.
• Algorithm Optimization - Optimize and fine‑tune AI models for performance, scalability, and accuracy.
• Work closely with cross‑functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI‑driven solutions.
• Present findings and insights to stakeholders and contribute to strategic decision‑making.
• Document AI models, algorithms, and processes thoroughly.
• Prepare technical reports and presentations to communicate results and methodologies.
• Stay up to date with the latest advancements in AI and machine learning technologies.
• Participate in Agile ceremonies with the team to execute on prioritized projects and features.
• Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems.

What Should You Have

• Bachelors degree in computer science, Information Technology, or any Technology Stream.
• 2 years of experience in AI Engineering.
• Strong programming skills in Python.
• Familiar in building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling.
• Familiar with CI/CD and test‑driven development.
• Experience in building Restful APIs for AI models.
• Familiar with of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics).
• Familiar with Retrieval Augmented Generation (RAG) techniques.
• Familiarity with prompt engineering techniques, such as instruction design, template‑based approaches, rule‑based conditioning, or fine‑tuning strategies.
• Strong communication and collaboration skills.
• Must be analytical, detail‑oriented, and able to manage multiple projects simultaneously.

Preferred Qualifications

• Experience working in an Agile Methodology.
• Additional programing languages such as Node.js / TypeScript, C#, or Java
• Demonstrated experience in developing and refining prompts for generative AI.