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Teamified

Empower Global Teams

Principal Engineer – AI

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 201-500Since 2021H1B No SponsorCompany SiteLinkedIn

Location

India

Posted

10 days ago

Salary

0

Seniority

Lead

Bachelor Degree8 yrs expEnglishJavaJenkinsReactSDLCTypeScriptGo.NET

Job Description

Principal Engineer – AI

Teamified

• 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.

Job 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

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