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AI Principal Engineer

Teamified

IndiaremotePosted 12 days ago
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Skill Required

AI EngineerAIand

Key highlights

  • 12+ years of software engineering experience required.
  • Leadership experience in a small, shipping team required.
  • Strong experience in .NET/C# and AI‑enabled pipelines is a must.
  • Flexibility in work hours and location is a key benefit.
  • Experience in fintech/payments regulated environments is required.
  • The role focuses on building evidence‑based AI‑first engineering practices.

Role overview

We are hiring a hands‑on Principal Engineer to lead a small AI‑first engineering pod that ships real product and platform work in an existing payments platform and .NET codebase. The role involves building evidence‑based agentic orchestration pipelines, coaching the team, and evolving the pod into a full scrum team while driving AI adoption across the organisation.

Responsibilities

  • Lead pod delivery end‑to‑end: backlog refinement, technical breakdown, implementation, review, and release.
  • Rapidly prototype product concepts, customer opportunities, and internal tools, working closely with Product, the CEO, and Sales to validate ideas through lightweight MVPs and production‑quality proof‑of‑concepts before committing to full‑scale roadmap investment.
  • Design and build agentic orchestration pipelines — e.g. a bug reported in Slack, Jira, or Linear 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.
  • Drive engineering initiatives independently, proactively identifying opportunities, removing technical blockers, and delivering business outcomes with minimal leadership oversight.
  • Lead technical discovery and solution design for AI‑enabled capabilities within an enterprise payments platform.
  • Champion AI adoption across the engineering organisation by demonstrating practical, production‑ready solutions rather than proof‑of‑concepts.
  • Evolve into a team lead who can run backlog, ceremonies, and engineering practices at squad scale.

Requirements

  • 12+ 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. Ability to describe systems designed: triggers, agent steps, human checkpoints, CI/CD integration, and outcomes when they failed.
  • Strong hands‑on experience with .NET/C# in enterprise production environments.
  • React/TypeScript and .NET/C# experience; strong architecture and communication skills.
  • Experience designing, developing, or implementing AI‑enabled applications, agentic workflows, LLM integrations, or AI‑assisted software engineering practices.
  • Strong experience working within payments platforms, payment processing systems, fintech products, banking integrations, or other regulated financial environments.
  • Legacy .NET Core upgrades experience.
  • Experience growing a pod or small team into a stable scrum team (or leading multiple squads).
  • Experience creating engineering standards, test automation, or secure SDLC practices.
  • Experience using AI to accelerate codebase comprehension, refactoring, test generation, or migration planning.
  • Experience in agentic SDLC automation: PR review agents, security scanning in CI/CD, bug‑triage‑to‑fix pipelines, Slack, Jira, or Linear integrations.
  • Demonstrated ability to independently lead technical initiatives, influence engineering direction, and drive business outcomes without requiring detailed guidance from leadership.
  • Must be able to learn quickly and reason credibly across the stack.

Nice to have

  • Front-end experience with React and TypeScript.
  • Experience with AWS, Jenkins or GitHub Actions, Jira or Linear.
  • Experience with MCP/tool integration and LLM 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.

Additional details

  • Teamified works with top enterprises and digital native businesses in Australia helping them build their remote teams in India, Philippines and Sri Lanka.
  • Teamified has 200+ engineers, testers, product managers etc. working across 20+ partners.
  • The client builds secure infrastructure for business payments — helping companies pay suppliers by card or bank transfer, reducing friction in B2B payments.
  • The platform spans a mixed technology estate — legacy and modern components across frontend, backend, integrations, and infrastructure.
  • By day 90 we would expect you to have: a clear understanding of the platform, codebase, and key technical risks in the pod’s domain; shipped or be imminently releasing at least one production‑visible outcome using the AI‑first workflow end‑to‑end; partnered with Product, the CEO, and Commercial teams to deliver at least one rapid prototype or MVP; published playbook v1 (tooling, guardrails, review, testing) derived from real pod work; at least one agentic pipeline prototype live; coached at least two engineers outside the pod on practical AI‑assisted workflows; assessed .NET Core 2.1 and proposed a pragmatic migration path; delivered an executive‑readable summary; independently identified and delivered at least one high‑impact engineering improvement.
  • The role is not an advisory architecture role; it requires coding, review, unblocking, and shipping.
  • The role requires an experienced technical leader who can operate with minimal direction.
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