[Hiring] Software Engineer @Safeguard Global

Role Description

We're building software used by companies around the world to solve complex global payroll, compliance, and workforce management challenges. As we scale, we're transforming our platform into a serverless, event-driven architecture on AWS. This is a core engineering initiative, and you'll play a key role in shaping how our systems evolve.

This is a fully remote role, working with a distributed team.

What You'll Do

• Design and ship agentic systems end-to-end — tool calling, sub-agent orchestration, memory, durable state, and failure recovery
• Build evaluation frameworks from the ground up — golden datasets, regression harnesses, and systematic approaches to measuring whether your AI systems actually work
• Own AI features from prototype to production: observable, maintainable, cost-aware
• Work with product and domain engineers to identify where AI has real leverage — and where it doesn't
• Contribute to how we build AI across the org: patterns, tooling, and standards that others build on
• Manage the operational economics of AI systems — latency, token cost, context efficiency — as first-class engineering concerns

Qualifications

• Demonstrated production experience with agentic systems: tool calling, multi-step orchestration, memory management, or RAG pipelines — with evidence (shipped product, open source, or portfolio)
• You've built evaluation infrastructure, not just run evals — you know how to measure non-deterministic systems systematically
• Strong backend engineering in TypeScript/Node.js; comfortable with Python for AI tooling and evaluation work
• Hands-on with AWS serverless (Lambda, EventBridge, S3, API Gateway)
• You operate with high autonomy — you move from ambiguous problem to shipped system without needing the path laid out for you
• Experience with reliability patterns: retries, idempotency, observability, failure-mode recovery
• Infrastructure as Code (CDK, Terraform, or similar)

Requirements

• Experience with multi-agent orchestration frameworks (LangGraph, CrewAI, Anthropic SDK)
• Exposure to LLM safety, guardrails, or responsible AI patterns in production
• Fine-tuning or RLHF exposure
• Experience in multi-tenant SaaS platforms
• Familiarity with modern data stacks (dbt, Athena, data lakes)

Benefits

• Autonomy and Flexibility (work in any way): Remote first, with the flexibility to include life needs like school runs and gym breaks in your schedule, all while maintaining a high standard of work.
• Generous leave: Enjoy a competitive leave package including paid bonding leaves for new additions to your family.
• Make a difference: Get 2 paid charitable days off to contribute to causes you believe in.
• Corporate bonus/SIP: All Guardians are eligible for our annual bonus scheme or sales incentive plan.
• International environment: Grow your network internationally and collaborate across the world. Interact, discover cultures, and tap into local expertise.
• Human centered culture: We emphasize the people factor in everything we do. Our nurturing culture ensures your ideas reach our leaders and your contributions get the recognition they deserve.
• Learning: We support your continuous growth by providing access to 2 learning platforms, where you can learn at your own pace.