Agentic AI Developer

Agentic AI Developer

6-month contract - Inside IR35 - day rate negotiable

London based - hybrid working - 2/3 days on site

Job Description Summary

Join our global Centre of Excellence as an AI Developer, contributing to the design, development, and deployment of intelligent agentic AI solutions across the organization and our clients. As part of a collaborative, cross-functional team, you will work alongside AI Engineers, Data Engineers, and Automation Engineers to deliver innovative, scalable solutions that drive measurable business impact.

This hands-on role requires robust software development skills, a solid foundation in artificial intelligence and web technologies, and proficiency in integrating AI capabilities with modern applications. You will focus on building, customizing, and integrating agentic AI applications-ranging from standalone agents to web-based solutions-while ensuring secure, reliable, and efficient interoperability with enterprise platforms and data sources. You will be responsible for translating business requirements into functional software solutions, rapidly prototyping and iterating on ideas, and collaborating closely with research, product, and engineering teams to deliver high-value projects.

Key Responsibilities

• Build, customize, and deploy agentic AI applications and solutions using platforms such as Azure AI Foundry, Power Platform's Copilot Studio, AWS Bedrock Agent Core, or Google Vertex.
• Develop web applications (front-end and back-end) to facilitate agent interactions, user experiences, and business workflows.
• Collaborate with AI Engineers, Data Engineers, and Automation Engineers to integrate AI models, data pipelines, and automation capabilities into applications.
• Implement effective prompt engineering and optimization strategies to enhance agent performance, reliability, and accuracy.
• Engage with internal stakeholders and clients to gather requirements, provide technical expertise, and deliver user-centric AI solutions.
• Design, develop, and maintain APIs for secure integration of AI-driven functionalities with enterprise systems (CRM, ERP, HRIS, finance, etc.).
• Support data ingestion, processing, and integration activities to ensure accurate, timely delivery of data for AI applications.
• Work with vector databases, semantic search, and knowledge management tools to enable intelligent agent capabilities.
• Deploy and manage AI solutions and web applications within cloud environments (Azure, AWS, GCP), ensuring scalability and performance.
• Apply DevOps and MLOps practices for efficient development, deployment, and lifecycle management of AI-enabled applications.
• Ensure all AI and software solutions adhere to security, privacy, and compliance requirements (GDPR, HIPAA, etc.).
• Identify and proactively mitigate risks related to AI deployments, including ethical considerations and bias.
• Provide clear documentation for technical designs, project plans, and operational procedures.

Knowledge and Attributes

• Solid understanding of artificial intelligence concepts, agentic systems, and machine learning fundamentals.
• Experience building and integrating intelligent agents, conversational bots, or AI-powered web applications.
• Proficiency in Python for AI/model integration and rapid prototyping; familiarity with frameworks such as FastAPI, Flask, Django, or similar.
• Strong experience in front-end development (JavaScript, TypeScript, React, Angular, or Vue.js) for building interactive web applications and UIs.
• Knowledge of back-end development (Node.js, Python, Java, or C#) for robust API and service creation.
• Familiarity with data engineering concepts, data integration, and handling structured/unstructured datasets.
• Experience with vector databases and semantic search for agentic AI knowledge management.
• Proven ability to develop secure APIs and integrate solutions with enterprise platforms.
• Working knowledge of cloud computing platforms (Azure, AWS, GCP) and deploying web/AI applications in cloud environments.
• Awareness of DevOps/MLOps best practices for automated deployment, monitoring, and version control.
• Understanding of security, privacy, and compliance requirements for AI and web applications.
• Ability to collaborate effectively in cross-functional teams, translating business needs into technical solutions.
• Strong analytical, problem-solving, and organizational skills, with attention to detail.
• Capable of managing multiple projects, prioritizing tasks, and delivering results in a fast-paced environment.

Required Experience

• Typically 3-5 years of experience developing AI-driven applications, intelligent agents, or web solutions in enterprise environments.
• Proven hands-on expertise in agentic AI development, prompt engineering, and integrating AI models into web applications.
• Demonstrated experience in front-end and back-end software development and building scalable web platforms.
• Solid experience in API development and secure integration with enterprise systems.
• Experience supporting data integration, ingestion, and management for AI applications.
• Practical experience deploying and scaling applications in cloud environments (Azure, AWS, or GCP).
• Familiarity with DevOps/MLOps practices for development lifecycle management.
• Track record of delivering projects that align with business objectives and demonstrate measurable value.

Disclaimer:

This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.