Senior Software Engineer

We are building a modern Workflow system with an AI-first experience layer. This role is for a hands-on product engineer who can ship full-stack capabilities end-to-end and treat AI as a core interaction model, not a bolt-on feature. You'll help deliver an AI-first front door workflow fulfilment experience, including AI-assisted workflows and agentic workflows that automate common operational tasks while maintaining stability, compliance, and auditability. Note: Prior ServiceNow experience is valued as domain context (ITSM patterns, SLAs, approvals, routing), but this is not a ServiceNow admin/config role.

The candidate will have responsibilities across the following functions:

Full Stack Product Delivery:

• Build production-grade web experiences (portals, agent experiences, dashboards) and backend services (APIs, orchestration, data model).
• Own features end-to-end: design/implementation, testing, deployment, monitoring, iteration.

AI First Feature Engineering (Core Expectation):

• Deliver AI capabilities that materially improve service outcomes (e. g., smarter intake, better search, better knowledge interpretation, conversational service submission).
• Implement and operate AI-assisted workflows and decisioning, including agentic workflows (with human-in-the-loop checkpoints where needed).
• Build AI components with evaluation discipline (quality checks, regression testing, monitoring) and explicit safety/operational controls.

Reliable Workflow and Data Foundations:

• Design lifecycle state models, routing, approvals, SLAs, and auditability for service management entities.
• Engineer for resilience and measurable performance (latency targets, stability, avoidance of regressions to operational processes).

Security, Privacy, and Governance by Design:

• Ensure AI experiences respect access controls and data boundaries (permissions-based responses, safe tool usage).
• Partner with security/compliance stakeholders to implement guardrails (data leakage prevention, prompt injection resilience, auditability).

Collaboration and Technical Leadership:

• Work closely with product, UX, platform/SRE, and service operations stakeholders.
• Provide technical leadership through design reviews, mentoring, and high engineering standards.

Expectations:

• AI-first front door: conversational entry points (Teams/web), smart search, guided self-service, and AI-assisted intake that reduces friction and drives deflection.
• Agentic workflows (controlled autonomy): AI-assisted decisioning and multi-step orchestration for repeatable operations (triage, routing, knowledge capture, change risk checks) with strong guardrails.
• Workflow orchestration foundation: reliable workflow definition/execution.
• Search + knowledge intelligence: better retrieval and intent-based search experiences to improve self-service and reduce tickets.
• Enterprise-ready integration and compliance: identity, asset/service context, audit trails, latency and stability targets appropriate for service operations.

Requirements:

• 6+ years building production systems as a full-stack engineer (React/Angular/Vue + Node/Java/. NET/Python + SQL/NoSQL).
• Strong API design, integration patterns, and production operability (logging/metrics/tracing).
• Experience building workflow-heavy products (forms, state transitions, queues, policy/routing).
• Working knowledge of modern engineering practices: Git, CI/CD, testing, secure coding.
• Experience working with DBs- PostgreSQL.
• Good to have ServiceNow, Cloud Experience: Azure/ GCP.

Preferred Qualifications:

• Demonstrated experience shipping AI-powered features in production or strong evidence of building LLM-enabled systems (RAG/search, tool use, orchestration, evaluation/monitoring, safe deployment practices).
• Ability to translate service management needs into AI-supported workflows (e. g., conversational interface, knowledge interpretation, deflection).
• Experience with Temporal or comparable workflow orchestration tools for building and managing long-running, distributed, event-driven workflows.
• Past or present ServiceNow exposure to understand service management patterns and workflows.
• Experience with distributed systems, asynchronous processing, queues/events.
• Strong product engineering mindset: experimentation, metrics, user journeys, incremental delivery.
• Experience modernising or replacing enterprise platforms (including SaaS/vendor transitions).