HHiring Reality
← Azurity Pharmaceuticals - India

Agentic AI Developer

Azurity Pharmaceuticals - India
Location
Hyderabad, IN
Posted
13 days ago
Department
Global IT & Infrastructure
What they actually want (must-haves)
  • Three or more years of professional software development experience
  • At least one year working directly with large language models or agentic AI systems
  • Strong proficiency in Python or a similar language
  • Experience using large language model APIs such as Anthropic, OpenAI, or comparable providers
  • Hands-on experience building tool-calling or function-calling agents
  • Familiarity with agent orchestration frameworks and concepts
Nice to have
  • Experience in pharmaceutical, healthcare, or other regulated industries
  • Familiarity with Model Context Protocol (MCP) or similar tool-integration standards
  • Experience with enterprise systems commonly used in pharmaceutical environments, such as Veeva, Salesforce, ERP, or IT service management platforms
  • Background in prompt engineering and fine-tuning/evaluation of LLMs
  • Exposure to cloud platforms (AWS, Azure, or GCP) and MLOps practices
What the job really is

As an Agentic AI Developer at Azurity Pharmaceuticals, you will design, build, and deploy AI agents that utilize large language models to automate multi-step workflows and integrate with various internal systems. Your role will involve creating orchestration layers for these workflows, ensuring error handling and compliance with industry regulations, while also translating technical solutions for non-technical stakeholders.

Things to weigh
  • No salary listed
  • Role involves working in a regulated industry, which may have strict compliance requirements
  • The posting emphasizes the need for strong communication skills, indicating a collaborative environment with non-technical stakeholders
Job score2.8/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity4/5
Pay transparency0/5

Applying to Azurity Pharmaceuticals - India?

See how your résumé matches this role — and tailor it from what actually gets interviews.