Artificial Intelligence (AI) Developer

About the role

Inteldot is seeking an experienced AI Developer to support the design, development, integration and implementation of AI and intelligent automation solutions for a leading LifeSciences company. The role focuses on Generative AI, Large Language Models (LLMs), AI agents, workflow automation and enterprise integration to improve operational efficiency and support digital transformation.

Key responsibilities

• Design, develop, test and deploy AI-powered applications and automation solutions aligned with business needs.
• Build solutions using Generative AI, LLMs and AI agents, and integrate them with enterprise apps, databases, APIs and automation platforms.
• Develop automated workflows and build proof-of-concept solutions, prototypes and scalable applications.
• Implement AI-assisted document processing, information retrieval, data analysis and workflow orchestration.
• Set up testing, performance evaluation, monitoring and documentation practices.
• Ensure compliance with cybersecurity, data privacy, information governance and responsible AI requirements.
• Support deployment, troubleshooting and maintenance, and prepare technical documentation and knowledge transfer.

Required profile

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence or a related field.
• Professional experience in software development, AI application development or intelligent process automation.
• Strong programming skills in Python and hands-on experience integrating LLMs or Generative AI into business applications.
• Experience with REST APIs, JSON, databases and enterprise integrations; experience building, testing, debugging and deploying software.
• Knowledge of secure software development, authentication, data protection and access controls.
• Strong analytical, problem-solving and documentation skills, and strong English communication skills.

Required skills

• Preferred: Azure OpenAI, OpenAI API, Amazon Bedrock, LangChain, LangGraph, Semantic Kernel, Microsoft Copilot, GitHub Copilot.
• Preferred: Power Automate, UiPath, n8n, Microsoft Azure, AWS, Databricks, SQL, SharePoint, ServiceNow, SAP.
• Preferred: CI/CD pipelines, Git, application monitoring, GxP, CSV and data integrity.