Overview

• Based 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.

Responsibilities

• Based 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 world's greatest health threats.
• Design and implement Agentic AI systems leveraging frameworks such as LangChain, Google ADK, Strands, and Semantic Kernel, enabling multi-step reasoning and task orchestration.
• Develop and operationalize multi-agent systems, incorporating patterns such as planning, tool usage, memory, and iterative reasoning.
• Apply advanced prompt engineering techniques (ReAct, few-shot learning, chain-of-thought, prompt chaining) to improve accuracy, determinism, and robustness of LLM systems.
• Establish AgentOps practices, including observability, tracing, logging, and performance monitoring for production-grade AI systems.
• Build multimodal AI solutions, integrating text with images or structured data to support complex enterprise use cases.
• Apply harness engineering practices to systematically design, test, and evaluate AI/agent workflows across different scenarios.
• Develop reusable agent tooling and integrations, enabling interaction with enterprise services, tools, and workflows, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns.
• Collaborate with cross-functional stakeholders to translate business problems into scalable GenAI-driven solutions.
• Leverage modern AI developer tooling such as Claude CLI, GitHub Copilot, Vertex AI, and Codex to accelerate development workflows.
• Support deployment and operationalization of AI solutions using cloud platforms such as AWS and GCP.
• Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
• Minimum of 5 years of

Qualifications

• Deep expertise in RAG architectures, including embedding generation, retrieval optimization, grounding, and context management.
• Proficiency in prompt engineering techniques (ReAct, chain-of-thought, few-shot learning, prompt chaining, instruction refinement).
• Hands-on experience building and deploying LLM-powered applications and agent-based systems in production environments.
• Strong Python programming skills with experience in tooling, function-calling, and agent-driven integrations.
• Familiarity with harness engineering approaches for systematic testing, validation, and benchmarking of AI systems.
• Understanding of Model Context Protocol (MCP) and Agent-to-Agent (A2A) interaction patterns.
• Solid expertise in NLP and text processing, including tokenization, embeddings, and preprocessing pipelines.
• Understanding of transformer architectures and modern LLM ecosystems.
• Understanding of basic machine learning, including supervised/unsupervised learning concepts and model evaluation techniques.
• Exposure to multimodal AI systems involving text, vision, or structured data fusion.
• Familiarity with LLM evaluation techniques, including synthetic test generation and prompt regression testing.
• Exposure to LLMOps/MLOps practices for deployment, monitoring, and scaling AI systems.
• Animal Vaccination, Biopharmaceutical Industry, Collaborative Development, Databricks Platform, Data Engineering, Design Applications, Digital Transformation, Disease Prevention, Econometrics, Information Security, Machine Learning (ML), Natural Language Processing (NLP), Performance Monitoring, Prompt Engineering, Software Development, Software Development Life Cycle (SDLC), System Designs, System Integration, Technical Leadership, Testing, Unsupervised Learning
• Preferred Skills:
• Agentic AI, LLMOps, Machine Learning Operations
• Current Employees apply HERE
• Current Contingent Workers apply HERE
• Secondary Language(s) Job Description:
• Search Firm Representatives Please Read Carefully
• Employee Status:
• Relocation:
• VISA Sponsorship:
• Travel Requirements:
• No Travel Required
• Flexible Work Arrangements:
• Not Indicated
• Valid Driving License:
• Hazardous Material(s):
• Job Posting End Date:
• 08/24/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.