Senior Backend Engineer, Agentic Workflows – Hybrid

Simple SolutionsNew York, NY
1dHybrid

About The Position

This role will play a key role as a Senior Backend Engineer at Torch, you’ll play a key role in evolving our platform’s architecture, building high-performance distributed systems, and developing agentic workflows that power our next generation of AI-enabled product experiences. You’ll design the backend systems that support LLM-powered features at scale - whether that means orchestrating web or voice agents to fetch data, building reliable workflows and safeguards for ingestion and normalization, or ensuring everything operates securely and compliantly. • Good balance of startup excitement (ownership, lean team) and stability/calmness. • Engaged customer base for AI/LLM experimentation and production implementation.

Requirements

  • minimum of 8+ years of experience in software engineering.
  • Strong experience with cloud platforms (AWS, GCP, Azure) and deploying secure, compliant workloads.
  • Demonstrated record of building scalable, secure, and reliable systems.
  • Comfortable collaborating with non-engineers, including product managers, designers, and business stakeholders.

Nice To Haves

  • Experience leading AI infrastructure projects end-to-end in a startup environment
  • Contributed to architecture or coding standards for engineering teams.
  • Experience in early-stage product ideation and design for AI-enabled features.
  • Hands-on experience with containerization/orchestration (Docker, Kubernetes) and infrastructure-as-code tooling (Terraform, Pulumi) for provisioning and managing cloud resources.

Responsibilities

  • Design, integrate, and operate LLM-powered and agentic workflows for claims data.
  • Build and maintain HIPAA-compliant systems for sensitive healthcare data.
  • Lead decisions around security, compliance, cost, performance, and scaling of AI workloads.
  • Implement robust monitoring, alerting, and observability systems for AI pipelines and production modules.
  • Collaborate cross-functionally with engineering, product, and operations teams to integrate AI capabilities into Torch’s platform.
  • Mentor and guide other engineers on best practices on both backend engineering and agentic workflows.
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