Backend Engineer - TEKsystems (Allegis Group Singapore Pte Ltd)

• Design and build production-grade backend services powering sales enablement and product-launch initiatives.
• Build and maintain data pipelines for ingestion, transformation, and aggregation feeding these systems.
• Build evaluation frameworks to monitor and improve AI output quality before and after release.

Summary

TEKsystems is a leading provider of technology consulting, committed to delivering innovative solutions and exceptional service to our clients. We're hiring a Backend Engineer to join a high-performing engineering team at a global technology-driven organization . This is a hands-on, production-focused development role: you'll own your services end-to-end, from architecture through deployment and live debugging, working directly with product and business stakeholders.

Key Responsibilities

• Design and build production-grade backend services powering sales enablement and product-launch initiatives.
• Build and maintain data pipelines for ingestion, transformation, and aggregation feeding these systems.
• Build evaluation frameworks to monitor and improve AI output quality before and after release.
• Own deployment and act as the first point of contact for debugging production issues.
• Work directly with business and technical stakeholders as the primary technical contact for your initiative.
• Advocate for performance optimization, automation, and strong test coverage (unit and integration).

Must Have Skills

• 5+ years designing and building commercial / enterprise-grade backend platforms or components.
• Strong programming ability. The role is language-agnostic.
• Practical experience with both SQL and NoSQL.
• Strong grounding in concurrency, scalability, and fault-tolerant system design.
• Excellent debugging, critical thinking, and communication skills; comfortable as the go-to technical contact for non-engineering stakeholders.

Good to haves

• Strong programming ability in Python is a plus.
• Hands-on experience building and shipping LLM-based products in production (chatbots, agents, or similar).
• Experience building agents on AWS Lambda / serverless architectures.
• Experience with Kafka or similar event streaming / dataflow systems.
• Experience building or working with AI evaluation frameworks / harnesses.

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