Design and implement agentic AI systems that automate discovery, assessment, and migration of legacy applications.
Develop intelligent workflows for refactoring monolithic systems into microservices or serverless architectures.
Integrate AI agents with cloud platforms (Azure, AWS, GCP) to orchestrate infrastructure provisioning, data migration, and validation.
Build reasoning engines that optimize migration paths based on cost, performance, and compliance.
Collaborate with architects, DevOps, and business stakeholders to align AI-driven modernization with enterprise goals.
Concentrate on building and integrating custom AI agents to solve specific, tactical customer problems.
Apply LLMs, graph reasoning, and planning to accelerate decision-making in migration scenarios.
Monitor agent performance, retrain models, and continuously improve autonomy and reliability.
Evaluate the effectiveness of prototypical agents through an understanding of both legacy and modern application development languages.

Bachelor’s or master’s degree in computer science, AI, or related field
Experience in AI engineering, with a focus on agentic systems or autonomous workflows
10+ years of experience in application development
Deep understanding of application migration strategies (rehost, replatform, refactor, retire)
Experience having built and leveraged AI for software development
Proficiency in cloud-native development and infrastructure-as-code (Terraform, Pulumi)
Experience building autonomous agents using frameworks like Lang Chain, Semantic Kernel, or custom planners
Experience with LLMs, reinforcement learning, or multi-agent systems
Strong programming skills in Python, Java, or other modern languages.

Agent Forward Engineer

Key skills