Specialist, Software Engineering, Full-Stack, GenAI and Agentic AI

Job Description The Opportunity Join a global biopharma company with a 130-year legacy and mission to achieve new milestones in healthcare. Be part of technology driven, data-led organization supporting a diversified portfolio of medicines, vaccines and animal health products. Work alongside passionate teams that use data, analytics and insights to drive decisions, and tackle some of the world’s greatest health threats.

Our Technology Centers are globally distributed hubs that enable our digital transformation and business outcomes across IT. They bring together diverse teams to collaborate, share best practices, and deliver solutions that save and improve lives.

This role is based at our Hyderabad Tech Center and follows a hybrid working model (3 days onsite, 2 days remote). Candidates are expected to reside within commuting distance of the Hyderabad office.

Role Overview As a Full-Stack Software Engineer, you will design, develop, deploy, and support secure, scalable software solutions across the user interface, API, data, cloud, and AI layers. You will collaborate with engineers, architects, product managers, and delivery teams to build high-quality applications that solve business problems.

You will contribute to GenAI and Agentic AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, enterprise integrations, and cloud-native technologies. This role is ideal for engineers who enjoy building modern applications, solving complex problems, and continuously learning emerging technologies.

What Will You Do In This Role

• Develop and maintain complex full-stack applications and software configurations in collaboration with global cross-functional teams.
• Develop responsive, accessible user interfaces using modern web technologies such as React, Angular, HTML, CSS, JavaScript, and TypeScript.
• Design and implement secure APIs, microservices, and backend services using Python, Node.js, Java, .NET, or equivalent technologies.
• Build GenAI-enabled applications leveraging LLMs, prompt engineering, semantic search, AI agents, enterprise knowledge sources, and orchestration frameworks
• Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines including ingestion, chunking, embeddings, retrieval, reranking, grounding, and evaluation.
• Develop agentic workflows using reasoning, planning, tool calling, workflow orchestration, memory patterns, and human-in-the-loop interactions.
• Integrate AI services with enterprise applications, APIs, authentication systems, knowledge repositories, and business workflows.
• Work with structured and unstructured data using relational databases, vector databases, search platforms, and cloud-native data services.
• Design and execute automated and manual testing strategies covering application functionality, integrations, APIs, and AI solution quality.
• Build, deploy, monitor, and support applications on AWS/GCP/Azure using cloud-native engineering practices.
• Contribute to AI evaluation, monitoring, prompt management, model performance measurement, and continuous improvement of production AI systems.
• Apply secure software engineering principles including authentication, authorization, API security, encryption, secrets management, and data protection.
• Participate in Agile product delivery, sprint planning, solution design discussions, and continuous improvement activities within a matrixed global organization.

What Should You Have

• Bachelors’ degree in Information Technology, Computer Science or related field
• 3-7 years of hands-on experience working in full-stack development
• Experience building cloud-native applications and deploying solutions into production environments.
• Passion for technology innovation, AI-enabled engineering, and continuous learning.

Primary Skills (must-have)

• Strong programming skills in Python and at least one additional technology stack such as TypeScript/Node.js, Java, or .NET.
• Strong full-stack software engineering experience across frontend, backend, APIs, integrations, databases, cloud-native architectures, and enterprise application development using technologies such as React, Angular, JavaScript, TypeScript, HTML, and CSS.
• Experience working with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and semantic search.
• Experience building or integrating AI-powered applica…