Senior Full Stack Engineer

Company Overview:

• Complyance is a global e-invoicing and tax-compliance platform delivered as a single API. We help businesses go live with country-specific e-invoicing, starting with the UAE and KSA and extending to 100+ countries, in days rather than months. We are a UAE pre-approved Accredited Service Provider, with native Peppol support, a proprietary GETS framework, and a developer-first ethos. We're a Chennai-headquartered, fast-moving startup building category-defining infrastructure for global commerce.

Role Description:

• We're hiring Senior Full Stack Engineers to ship production features fast - in regulated markets, alongside AI coding agents. We care about what you can build and how you collaborate - not years on a résumé. If you already work fluently with AI coding agents, lead with a plan when given direction, and treat unfamiliar codebases as a ramp-up challenge rather than a blocker - read on.

What you'll Do:

• Ship end-to-end — design, build, test, and deploy production features against a regulated-product backdrop.
• Work fluently with AI coding agents (Claude Code, Cursor, Copilot, or similar) - we're less interested in generation, more in orchestration.
• Critically review AI output - refactor, reject, or rewrite agent suggestions where they're wrong; be ready to speak to specific cases.
• Run multi-parallel workstreams - git worktrees for parallel feature development, multi-agent orchestration; comfort with parallel work is a core competency at this level
• Lead with "how" - when given a direction, propose the path; constructive challenge is welcome alongside a plan, not as a refusal.
• Switch context across 4–5 workstreams in parallel — pick up unfamiliar codebases and make meaningful progress in the same session.
• Mentor early-career engineers - including pairing on agent-driven workflows
• Contribute to team knowledge - bring at least one substantive tooling insight or workflow improvement to the team each month.

What we're looking for:

Must-Have:

• 2+ years of professional full-stack software engineering experience.
• Strong CS fundamentals - algorithms, data structures, systems.
• Proficiency in front-end (React or similar) and back-end (Node.js / Express + MongoDB or SQL)
• You already use AI coding agents daily - you can speak to specific cases of agent output you rejected, and describe where agents make you faster vs. slower.
• Comfort with multi-parallel workflows - git worktrees, multiple feature branches, parallel agents or willingness to ramp in your first 3 months.
• Execution mindset - you respond to direction with a plan: "I tried X, hit Y, now thinking Z"
• Strong written and verbal communication - you document, surface blockers early, and give updates without being asked.
• Based in Chennai or willing to relocate

Good to Have:

• TypeScript in production.
• Next.js or similar modern frameworks.
• Experience integrating LLM APIs (Anthropic, OpenAI) into production — extraction, validation, classification, automation.
• Experience with multi-agent orchestration tools (Claude Code worktrees, Aider, Devin, or homegrown setups).
• Background in regulated domains — compliance, fintech, e-invoicing, tax, or payments
• Open-source contributions or public technical writing.
• Experience mentoring engineers.

How we work:

A few things worth knowing before you apply:

• We respond to direction with a plan. Constructive challenges are welcome - alongside an alternative, at the right time.
• Unfamiliar work is the default. New codebase, new domain, new tooling - we expect you to use agents, docs, and your own judgment to ramp up.
• Tests, code review, and documentation are part of the job. Not afterthoughts. Not negotiable.
• Concerns come paired with priorities. If something will slow us down, we want to hear it - with what you'd cut or trade off to make it work.
• We're actively iterating on how we work. AI agents, git worktrees, multi-agent orchestration - we expect engineers to engage openly with that.

What we offer:

• Company-provided AI coding tools - Claude Code, Cursor, or similar paid plans.
• Dedicated learning time - Structured time set aside during the adoption window for AI tools and parallel workflow exploration.
• Honest, written feedback at 30, 60, and 90 days - no surprises at review time.
• Real autonomy on production features - not maintenance work.
• Direct exposure to compliance product decisions with regulatory partners (ZATCA, LHDN)
• CTC to be discussed at offer stage based on experience.