We are looking for an AI Engineer to serve as a force multiplier for the client's engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client's team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes.

Key Responsibilities:

• Design and implement AI-powered workflows that automate software engineering processes across the SDLC.
• Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.
• Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.
• Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.
• Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.
• Support large-scale legacy application modernization and business rule extraction initiatives.
• Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.
• Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.
• Evaluate and implement emerging AI technologies that improve software development efficiency and quality.