Principal Engineer – AI

🕒 June 11

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Teamified

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2021

💼 Consulting

👥 HR Tech

🎯 Recruiter

Consulting • HR Tech • Recruitment

Teamified is a global talent powerhouse that specializes in connecting businesses to offshore talent. They offer a comprehensive platform that simplifies the hiring process by providing access to a diverse range of skilled professionals from multiple industries. With a focus on data security and a people-first approach, Teamified aims to reduce hiring times and costs while ensuring high-quality talent matches for organizations.

📋 Description

• Lead pod delivery end-to-end: backlog refinement, technical breakdown, implementation, review, and release. • Design and build agentic orchestration pipelines — e.g. a bug reported in Slack or Plane flowing through triage, context gathering, fix attempt, PR creation, and automated review before a human merges. • Wire agentic review triggers into PR and CI/CD workflows: security analysis, bug-risk review, test gap detection, dependency checks — with clear pass/fail/escalate behaviour and auditability. • Use AI-assisted development responsibly across coding, testing, debugging, refactoring, documentation, and code review — coaching the pod without bypassing engineering fundamentals. • Ship production-visible outcomes early and codify what works into standards, guardrails, and tooling choices the wider org can adopt. • Provide pragmatic technical leadership on pod-owned work and high-risk cross-cutting decisions; advise (not own) wider platform architecture. • Lead one high-leverage modernisation path the pod can execute — including assessment of our .NET Core 2.1 estate and a pragmatic upgrade recommendation. • Improve the pod’s path to production: Git workflows, CI/CD (Jenkins and/or GitHub Actions), testing expectations, and quality gates — then propose rollouts others can follow. • Grow the pod: hiring, onboarding, scrum maturity, and mentorship across distributed and offshore engineers. • Ensure everything ships with fintech-grade security, compliance, auditability, and operational discipline — including careful evaluation of AI vendor and tooling risk.

🎯 Requirements

• 8+ years in software engineering, with senior technical leadership experience. • Strong hands-on skills in existing production codebases — not only greenfield. • Experience leading or contributing materially to a small team shipping real work. • Track record of mentoring and rolling out new engineering practices beyond your own team. • Practical, safe use of AI-assisted development tools. • Built agentic pipelines, not only used an AI IDE. You can describe systems you designed: triggers, agent steps, human checkpoints, CI/CD integration, and what happened when they failed. • React/TypeScript and .NET/C# experience; strong architecture and communication skills. • Fintech, payments, or regulated environments. • Legacy .NET Core upgrades; Java or Go in production. • Growing a pod or small team into a stable scrum team (or leading multiple squads). • Creating engineering standards, test automation, or secure SDLC practices. • Using AI to accelerate codebase comprehension, refactoring, test generation, or migration planning. • Agentic SDLC automation: PR review agents, security scanning in CI/CD, bug-triage-to-fix pipelines, Slack or issue-tracker integrations.

🏖️ Benefits

• Flexibility in work hours and location, with a focus on managing energy rather than time. • Access to online learning platforms and a budget for professional development • A collaborative, no-silos environment, encouraging learning and growth across teams • A dynamic social culture with team lunches, social events, and opportunities for creative input • Health insurance • Leave Benefits • Provident Fund • Gratuity