Mid-level AI Engineer

Job Title: Mid-level AI Engineer (EAD)Location: Washington DCDuration: 12+ months contractInterview: 1 video interview and 1 in-person interviewIt is only a mid-level candidate needed. So, 4-7 years is fine as AI Engineer.The AI Engineer will be part of Tech Consulting firm’s Forward Deployed Engineering team supporting the Client’s AI-Assisted SDLC Pilot Program . Working closely with the onsite AI Architect , this role is embedded directly alongside the Bank development squads — configuring AI tooling, operating governance controls, and enabling developers through daily paired coding sessions. The AI Engineer reports to the TECH CONSULTING COMPANY Engagement Lead and plays a critical role in ensuring the pilot produces measurable, evidence-based productivity outcomes.ResponsibilitiesParticipate in codebase assessments to evaluate the Bank’s existing technology stack, development workflows, and AI readiness <--- multi programming languages, would be good to have, python and Java to be able to look at code baseConfigure and maintain squad development environments, including AI coding tools, context files, and agent configurations within the Bank’s infrastructureSet up and operate governance tooling including PromptBOM logging, SAST rulesets for AI-generated code, and secrets scanning pipelines pythonEmbed daily within Bank engineering squads during pilot execution — reviewing AI-flagged pull requests, pair-programming, and coaching developers on AI-assisted workflowsBuild and refine custom agents, prompt libraries, and steering files based on pilot learnings and squad feedbackDocument ways of working, training materials, and the AI-SDLC playbook content in collaboration with the AI ArchitectTransition from embedded driver to coaching role during the Optimization & Expansion phase, guiding new squads through onboardingHarden the agent library and toolchain configurations for production-readiness during capability transferSupport the train-the-trainer program by teaching Bank engineers to independently configure, maintain, and extend the AI toolingCandidate Requirements5+ years of software engineering experience across all technologies and back-end technologiesHands-on experience with AI coding assistants (e.g., GitHub Copilot, Claude Code, Cursor, Amazon Q Developer ) in day-to-day development workflowsStrong 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 practicesExperience with static analysis tools (SAST), code quality gates, and security scanning i n enterprise development environmentsAbility to write clear technical documentation, training materials, and process guidesBachelor’s degree in Computer Science, Software Engineering, or a related fieldAdditional SkillsExperience with prompt engineering or building custom AI agents/skills is a plusFamiliarity with developer productivity measurement frameworks ( e.g., SPACE, DORA metrics) is a plusPrior experience working on client-embedded or forward-deployed engineering engagements is highly desirableKnowledge of compliance and governance requirements in regulated industries (financial services, government) is a plusExperience mentoring or training junior developers or conducting technical workshops is a plusBest Regards,Ashish SinghTruehire Staffing,5900, Balcones Drive Suit 100, Austin, TX, 78731WebEmail ID: