AI/ ML Engineer (Only Locals and Financial Domain in recent projectcs)

Responsibilities

• Participate in codebase assessments to evaluate the Bank s existing technology stack, development workflows, and AI readiness
• Configure and maintain squad development environments, including AI coding tools, context files, and agent configurations within the Bank s infrastructure
• Set up and operate governance tooling including PromptBOM logging, SAST rulesets for AI-generated code, and secrets scanning pipelines
• Embed daily within Bank engineering squads during pilot execution reviewing AI-flagged pull requests, pair-programming, and coaching developers on AI-assisted workflows
• Build and refine custom agents, prompt libraries, and steering files based on pilot learnings and squad feedback
• Document ways of working, training materials, and the AI-SDLC playbook content in collaboration with the AI Architect
• Transition from embedded driver to coaching role during the Optimization & Expansion phase, guiding new squads through onboarding
• Harden the agent library and toolchain configurations for production-readiness during capability transfer
• Support the train-the-trainer program by teaching Bank engineers to independently configure, maintain, and extend the AI tooling

Candidate Requirements

• 5+ years of software engineering experience across all technologies and back-end technologies
• Hands-on experience with AI coding assistants (e.g., GitHub Copilot, Claude Code, Cursor, Amazon Q Developer) in day-to-day development workflows
• Strong proficiency in modern web frameworks, RESTful APIs, and at least one major cloud platform (AWS, Azure, or Google Cloud Platform)
• Solid understanding of CI/CD pipelines, Git workflows, pull request reviews, and automated testing practices
• Experience with static analysis tools (SAST), code quality gates, and security scanning in enterprise development environments
• Ability to write clear technical documentation, training materials, and process guides
• Bachelor s degree in Computer Science, Software Engineering, or a related field

Additional Skills

• Experience with prompt engineering or building custom AI agents/skills is a plus
• Familiarity with developer productivity measurement frameworks (e.g., SPACE, DORA metrics) is a plus
• Prior experience working on client-embedded or forward-deployed engineering engagements is highly desirable
• Knowledge of compliance and governance requirements in regulated industries (financial services, government) is a plus
• Experience mentoring or training junior developers or conducting technical workshops is a plus