Description

ROLE OVERVIEW:

As a Senior Developer – AI Engineering, you will design, build and deploy AI agents and the full-stack applications that surround them, using Microsoft technologies, Azure AI services, Python, and Client's enterprise platforms. You will translate standard Client's processes and SOPs into agent capabilities that retrieve information, reason over enterprise data, prepare work and execute governed actions with appropriate human oversight.

This is a hands-on engineering role combining agent and prompt engineering, back-end and API development, enterprise integration and modern front-end work, delivered under clear security, governance and auditability standards. You will report to the Director of Solutions Architecture, work closely with the IT Global Service Center leadership team, and mentor developers as the team scales its AI capability.

Key Responsibilities:

Design, build, test, and deploy AI agents across Operations, Finance, and Commercial domains.

Implement agent orchestration logic to interpret user intent, select appropriate agents and tools, validate results, and deliver auditable outcomes.

Build and optimise Retrieval-Augmented Generation (RAG) solutions using SOPs, process models, business rules, and data definitions.

Apply prompt engineering, tool/function calling, and structured output techniques.

Develop and maintain full-stack applications using .NET Core, C#, ASP.NET, Python, SQL Server, and front-end frameworks such as React.js, Angular, or Vue.js.

Design and develop secure RESTful APIs, event-driven services, and cloud-native solutions using Microsoft Azure, including Azure App Services, Azure Functions, Azure AI Foundry, and Azure OpenAI.

Integrate AI agents with enterprise systems and systems of record through governed tools and APIs.

Work with near-real-time data pipelines and event streams.

Implement AI governance and responsible AI practices, including identity and access management, guardrails, auditability, traceability, human oversight, and compliance.

Write clean, maintainable, and efficient code following SOLID principles, OWASP security standards, and Agile development practices.

Implement CI/CD pipelines and automated testing to ensure solution quality and reliability.

Troubleshoot, debug, and optimise application and AI agent performance, scalability, and cost.

Collaborate with architects, product owners, and global IT teams to deliver enterprise AI solutions.

Participate in code and design reviews, mentor developers, and maintain technical documentation for solutions, agents, and integrations.
 

Core Competencies:

Self-Management: Ability to independently manage responsibilities, take ownership of projects, and deliver results with minimal supervision.

Technical Aptitude: Strong interest in exploring emerging technologies, thinking creatively, and adapting to new tools, technologies, and engineering approaches.

Logical Thinking: Ability to analyse complex problems, understand abstract concepts, and develop logical and effective technical solutions.

Business Understanding: Ability to understand business operations, processes, and requirements and translate them into practical AI-driven solutions that deliver business value.

Language Proficiency: Strong English communication skills, with the ability to read, write, and speak fluently. Knowledge of additional languages is an advantage.

Communication Skills: Excellent verbal and written communication skills, with the ability to communicate technical concepts and business requirements clearly while collaborating with global teams across different regions.

Essential Skills and Qualifications

Bachelor's degree in Computer Science, Information Technology, or a related field.

8+ years of experience in full-stack development, with strong expertise in Microsoft technologies, including .NET Core, C#, ASP.NET, and SQL Server.

Preferred Skills

Experience in freight forwarding, logistics, supply chain, or transportation technology.

Exposure to CargoWise, enterprise integration platforms, or MCP-style tool interfaces.

Experience with vector databases, embeddings, semantic search, document intelligence, and OCR technologies.

Familiarity with Microsoft Fabric, Databricks, or similar data platforms, along with near-real-time event processing.

Experience implementing AI evaluation, observability, guardrails, and cost governance at enterprise scale.

2+ years of hands-on experience developing and deploying LLM-based or agentic AI solutions in production environments or advanced pilots.

Strong experience in prompt engineering, Retrieval-Augmented Generation (RAG), and tool/function calling.

Proficiency in Python for AI, agent development, and data-related workloads, alongside C# / .NET.

Practical experience with at least one enterprise AI platform or framework, such as Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio, Semantic Kernel, or LangChain.

Experience developing and deploying cloud-native applications on Microsoft Azure, including Azure DevOps and Azure Functions.

Proficiency in modern front-end frameworks such as React.js, Angular, or Vue.js.

Strong understanding of web services, RESTful APIs, and database technologies, including advanced SQL and query optimisation.

Experience integrating applications and AI solutions with enterprise systems of record and third-party services.

Knowledge of application and AI security standards, including OWASP Top 10, identity and access management, and data protection.

Hands-on experience with CI/CD pipelines, automated testing, and Agile development methodologies.

Strong problem-solving, debugging, and troubleshooting skills.

Ability to mentor developers and collaborate effectively with distributed teams across multiple time zones

Key Skills

Education

Any Graduate