Agentic AI Developer

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.