AI Software Engineer

AI Software Engineer (Agentic AI & Automation)

Overview

We are seeking an AI Software Engineer to design and build agentic AI systems that automate real business processes. This role is ideal for a strong software engineer who applies AI to workflow automation, system integration, and decision making - rather than a profile centered on analytics, reporting, or visualization.

You will help develop an AI agent platform that takes action: triggering workflows, integrating with enterprise systems, and enabling business teams to focus on their problems without managing underlying AI infrastructure.

What You'll Do

• Design and build agent based AI solutions that automate workflows, trigger system actions, and improve operational efficiency


• Partner with business and technical stakeholders to translate real world needs into scalable AI driven solutions


• Design and implement cloud native AI architectures using Microsoft Azure and established AI design patterns


• Build APIs and backend services that embed AI capabilities into enterprise systems


• Collaborate with AI Engineers and ML Engineers to evolve prototypes into production ready, enterprise scale platforms


• Build, deploy, and operate ML pipelines with an emphasis on reliability, performance, and security


• Orchestrate infrastructure for low latency, resilient AI workloads using infrastructure as code and automation


• Contribute reusable accelerators, templates, and patterns that increase delivery speed and consistency


• Support CI/CD pipelines, monitoring, and operational best practices for AI systems in production

Required Technical Skills

• Strong software engineering background with hands on applied AI experience


• Extensive experience with Microsoft Azure, including AI/ML services and cloud native architectures


• Hands on experience deploying and operating ML pipelines using Azure Machine Learning


• Proficiency in Python and modern software engineering practices


• Experience building APIs and automation for workflow and process orchestration


• Strong understanding of MLOps, model lifecycle management, and CI/CD for AI systems


• Experience with containerization and orchestration technologies (Docker, Kubernetes)


• Experience with automation and configuration management tools (e.g., Ansible)


• Working knowledge of security, identity, and access control in enterprise cloud environments

Preferred Qualifications

• Experience building or operating agentic AI systems


• Familiarity with Microsoft Foundry


• Experience with data engineering platforms such as Databricks, Spark, or Azure Data Factory


• Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)

Experience

• 5+ years of experience in software engineering, AI engineering, or machine learning engineering


• Proven experience delivering production AI or ML solutions in a cloud environment


• Experience collaborating with cross functional teams across engineering, architecture, and business functions

Ways of Working

• Ability to work independently as a contractor while integrating effectively with an established team


• Strong communication skills with the ability to explain complex technical concepts clearly


• Results oriented mindset focused on delivery and tangible business value