Agentic AI Developer

Azurity Pharmaceuticals; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Azurity Pharmaceuticals is seeking an Agentic AI Developer to design, build, and deploy AI agents and multi-step autonomous workflows that integrate with internal systems and business processes.

You will design AI agents that use large language models, plan, reason, and execute tasks across data retrieval, document generation, and cross-system workstreams. Expected to collaborate with regulatory/compliance teams to ensure privacy and security.

Qualifications

• 3+ years of professional software development experience.
• At least 1 year with large language models or agentic AI systems.
• Experience building tool-calling agents and tool schemas.
• Familiarity with MCP or similar tool-integration standards.
• Knowledge of data privacy and regulatory requirements in pharma/healthcare.
• Strong communication to explain AI behavior to non-technical stakeholders.

Responsibilities

• Design and build AI agents that plan, reason, and execute multi-step tasks.
• Integrate agents via APIs and tool frameworks.
• Maintain orchestration layers with error handling and retries.

Skills

Python

LLM APIs

Agentic AI

Tool calling

API design

Async systems

RAG

Security & compliance

Communication

Job description

Job Summary

Azurity is seeking an Agentic AI Developer to design, build, and deploy AI agents and multi-step autonomous workflows that integrate with internal systems and business processes.

Key Responsibilities

• Design and build AI agents that use large language models to plan, reason, and execute multi-step tasks, including data retrieval, document generation, and cross-system workflows
• Integrate agents with internal and third-party systems via APIs, MCP servers, and other tool-calling frameworks
• Build and maintain orchestration layers for multi-agent workflows, including error handling, retries, and human-in-the-lead checkpoints

Required Skills and Experience

• Three or more years of professional software development experience, including at least one year working directly with large language models or agentic AI systems
• Strong proficiency in Python or a similar language, with experience using large language model APIs such as Anthropic, OpenAI, or comparable providers
• Hands-on experience building tool-calling or function-calling agents, including designing tool schemas and managing multi-turn reasoning
• Familiarity with agent orchestration frameworks and concepts (ReAct, planning/reflection loops, multi-agent coordination)
• Experience with retrieval-augmented generation (RAG), vector databases, and embedding models
• Solid understanding of API design, integration patterns, and asynchronous systems
• Experience implementing evaluation, observability, and safety guardrails for AI systems in production
• Comfort working in a regulated industry, with attention to data privacy, security, and compliance requirements
• Strong communication skills, with the ability to translate business problems into technical solutions and explain AI system behavior to non-technical stakeholders

Preferred Qualifications

• 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.