Backend Engineer – AI Recruiting Platform

Backend Engineer – AI Recruiting Platform

Contract Type:

Contractor

Location:

New York - New York

Industry:

Technology

Reference Number:

CR/510076

Salary:

$100 - $120 Hourly

Contact Name:

Tandym Group

Contact Email:

Jocelyn.Lau@tandymgroup.com

Contact Phone:


Date Published:

23-Mar-2026

Tandym Group is building an AI-powered recruiting platform that accelerates how recruiters identify, match, and engage top talent. We're looking for a Backend Engineer to build and scale the core services, APIs, and data infrastructure that power these AI-driven workflows.

About Us:
Tandym Group delivers human-centered workforce solutions that combine deep industry expertise with AI-powered technology, helping organizations solve mission-critical hiring challenges while connecting talent with opportunity.
Our Culture:
We are a small startup-style team within Tandym Group building AI-powered software that sits at the intersection of AI, recruiting, and productivity software. Our platform helps recruiters identify, match, and engage candidates faster.
  • We move quickly from idea to production
  • Engineers have direct impact on product direction
  • We ship frequently and iterate based on real user feedback
  • Everyone contributes to solving hard problems around AI, data, and workflow automation
  • If you enjoy building quickly, solving meaningful problems, and shaping products from the ground up, you'll thrive here.
About the Role:
We’re looking for a strong engineer to help build and evolve our backend systems. You will build and scale the core systems that power the Catalyst recruitment platform, operating a multi-tenant SaaS architecture that ensures strict client data isolation, secure APIs, and high-performance data processing.
This role focuses on building the backend services that enable AI-driven candidate matching, recruiter workflows, and large-scale data processing across the platform. You will work closely with frontend/UI engineers, AI engineers, and product partners to deliver scalable systems that power real-time recruiting insights and automation.
We are looking for an engineer who enjoys solving complex systems challenges, building reliable backend services, and working in a fast-moving environment where systems must scale with product growth.
Responsibilities:
  • Design, build, and maintain scalable backend services that power the Catalyst recruiting platform
  • Develop secure and reliable APIs that support recruiter workflows, AI-driven insights, and high-volume data processing
  • Design and maintain a multi-tenant SaaS architecture with strong client data isolation and security controls
  • Build systems that efficiently process and serve large volumes of candidate and job data
  • Collaborate with frontend, AI, and product teams to build backend capabilities that enable new product features
  • Improve system reliability, performance, and scalability through thoughtful architecture and monitoring
  • Move quickly to implement backend improvements, resolve issues, and continuously enhance platform capabilities
Qualifications:
  • Strong backend engineering experience building production systems using languages such as Python, Node.js, Go, or similar
  • Hands-on experience using AI development tools such as ChatGPT, Claude, or similar to build, debug, or accelerate backend development
  • Experience implementing or integrating AI-driven features or services into production systems
  • Experience designing and operating scalable APIs and distributed systems
  • Experience building or supporting multi-tenant SaaS platforms with secure data isolation
  • Strong understanding of database design and data modeling (PostgreSQL, MySQL, or similar)
  • Experience working with cloud-based environments such as AWS, GCP, or Azure
  • Ability to work effectively in a fast-moving, collaborative engineering environment with a strong sense of ownership
  • Experience working effectively in remote or distributed engineering teams, with strong communication and ownership of deliverables
Desired Qualifications:
  • Experience building systems that integrate AI or machine learning services
  • Experience working with search, ranking, or matching systems (e.g., Elasticsearch, vector search)
  • Familiarity with recruiting, talent marketplaces, or workflow automation platforms
  • Experience designing high-throughput data pipelines or event-driven architectures
  • Experience building complex workflow or productivity tools
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