Agentic AI Developer
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What you'll do
- 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
What they're looking for
- 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
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.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Azurity Pharmaceuticals is a privately held, specialty pharmaceutical company that focuses on innovative products that meet the needs of underserved patients. As an industry leader in providing unique, accessible, and high-quality medications, Azurity leverages its integrated capabilities and vast partner network to continually expand its broad commercial product portfolio and robust late-stage pipeline. The company’s patient-centric products span the cardiovascular, neurology, endocrinology, gastro-intestinal, institutional, and orphan markets, and have benefited millions of patients. For more information, visit www.azurity.com.
Azurity Pharmaceuticals is proud to be an inclusive workplace and an Equal Opportunity Employer. Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do. We seek highly motivated individuals with the dedication, integrity, and creative spirit needed to thrive in our organization.
About the Role:
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.
By applying for this role, you confirm that you are mentally and physically capable of fulfilling the job responsibilities detailed in the job description without any restrictions. If you have any concerns or even the slightest disability that may affect your ability to perform the job, please inform HR in advance.
Company
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