Software Engineer

Job Title

Senior Software Engineer – Regulated AI & Enterprise SaaS

We are building a semi-autonomous AI recruitment agent that works alongside human recruiters and existing Applicant Tracking Systems (ATS).

The system is advisory-first, human-in-the-loop, and designed for regulated enterprise environments, with strong guarantees around compliance, auditability, AI safety, and bias control.

This is not a consumer AI product — it is a policy-driven, explainable, enterprise AI system.

As a Senior Software Engineer, you will design and build core backend systems that power our AI-assisted recruitment platform, including:

- Policy-controlled AI workflows

- ATS integrations

- Audit-ready decision pipelines

- Security- and compliance-first infrastructure

You will work closely with architects, ML engineers, compliance stakeholders, and product leaders to deliver a production-grade, regulated AI platform.

Core Engineering

• Design and implement backend services for a single-tenant, enterprise SaaS platform
• Build read-heavy ATS integrations (Greenhouse, Lever, Workday, etc.) using APIs and webhooks
• Implement human-in-the-loop approval workflows with full auditability
• Develop event-driven systems for recommendations, approvals, and logging

AI & Policy Integration

• Integrate dedicated LLM services on AWS (Bedrock / EKS-hosted models)
• Enforce OPA/Rego-based policy decisions for:
• AI safety
• Bias control
• Autonomy limits
• Ensure no AI action bypasses policy evaluation

Compliance & Safety

• Implement immutable audit logs (append-only)
• Support GDPR workflows (right to explanation, right to delete)
• Encode EEOC-safe hiring constraints into software logic
• Build systems that are inspectable, explainable, and regulator-friendly

Security & Reliability

• Implement tenant-isolated data access patterns
• Apply secure-by-default design (IAM, KMS, encryption, RBAC)
• Participate in threat modeling and abuse scenario mitigation
• Build for SOC2 / ISO-style audits
• No AI recommendation is produced without policy validation
• Every action is explainable, traceable, and auditable
• Recruiters trust the system — and regulators can inspect it
• The platform scales without sacrificing safety or compliance

• 5+ years of backend software engineering experience
• Strong experience with:
• Distributed systems
• API design (REST/GraphQL)
• Event-driven architectures
• Proficiency in one or more:
• Java / Kotlin
• Go
• Python
• Node.js (TypeScript)

Policy & Compliance Awareness

• Experience working with regulated systems (fintech, healthtech, HR tech, govtech)
• Familiarity with:
• OPA / Rego (strong plus)
• RBAC / ABAC authorization models
• Audit logging and compliance controls

Cloud & Infrastructure

• Strong AWS experience:
• VPC, IAM, KMS
• RDS / DynamoDB
• ECS / EKS
• Infrastructure-as-Code (Terraform / CDK)
• Experience with AI/ML system integration (not necessarily training models)
• Familiarity with:
• SOC2, GDPR, EEOC, ISO 27001
• Human-in-the-loop AI systems
• Explainable AI or model governance
• Prior work on ATS, HR, or workflow automation platforms
• Experience building single-tenant enterprise SaaS

What Makes This Role Different

• You are not building a chatbot
• You are building a policy-governed AI system where:
• Safety > speed
• Explainability > raw automation
• Compliance is a core feature, not an add-on
• Your code may be reviewed by:
• Auditors
• Legal teams
• Enterprise security teams
• Thinks in systems, not features
• Comfortable saying this should fail closed
• Understands that doing nothing is sometimes the safest action
• Treats compliance constraints as engineering inputs, not obstacles