Senior Backend Engineer, Agentic Workflows – Hybrid

Simple Solutions; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Torch is a rapidly growing startup building AI-enabled healthcare procurement software. We seek a Senior Backend Engineer to help evolve our platform, design scalable distributed systems, and implement agentic workflows that power next‑gen AI experiences.

You will ensure secure, HIPAA‑compliant backend services and mentor peers in a fast-paced hybrid environment. Join a tight-knit team solving real-world problems for dental healthcare providers, with ownership and impact across the stack, from

Qualifications

• Minimum of 8+ years of software engineering experience.
• 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.

Responsibilities

• Evolve platform architecture and build high-performance distributed systems.
• Develop agentic workflows powering AI-enabled experiences.
• Ensure HIPAA-compliant, secure backend systems.
• Lead decisions around security, cost, performance, and scaling of AI workloads.
• Implement monitoring, alerting, and observability for AI pipelines and production modules.
• Collaborate with engineering, product, and operations teams to integrate AI capabilities and mentor engineers.

Skills

Backend engineering

Cloud platforms

Distributed systems

HIPAA compliance

AI infrastructure

Docker/Kubernetes

Terraform/Pulumi

Cross-functional collaboration

Mentoring engineers

Tools

Docker

Kubernetes

Terraform

Pulumi

Job description

Senior Backend Engineer, Agentic Workflows - Hybrid

New York, United States | Posted on 12/23/2025

Job Title: Senior Backend Engineer, Agentic Workflows - Hybrid 3 days a week

Location:

NYC, NY working at a SaaS Healthcare Company in dental related field Hybrid

Job Location

NYC, NY

Remote Work Policy

In office Hybrid 3 days with in office Monday Wednesdays and Thursdays

Available

Relocation - NOT Allowed

Client Overview:

Client is a rapidly growing start-up software company whose mission is to improve the lives of dental healthcare providers by simplifying supply ordering, providing transparent pricing, and modernizing a previously outdated ordering process. Torch is targeting the $100+ billion office-based healthcare supply industry, starting with dental practices. Our innovative e-commerce software platform streamlines healthcare professionals’ procurement process and secures the best prices for products.

We are a close-knit team that enjoys working together every day to solve real-world problems. We obsess over customer satisfaction, promote a strong bias for action, encourage team members to engage in impactful work, and foster a one team culture. Our goal is to create better solutions to help healthcare professionals succeed, and we are looking for people like you to help bring this vision to life.

Job Description

This role will play a key role a s 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.

Key Responsibilities

• Further then to 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.

Interview Stages : three interviews

MUST HAVE SKILLS

What we are looking for:

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.

Bonus:

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.

1. Can you walk me through your experience with Identity and Access Management systems. Specifically any work you’ve done with SSO, MFA, or protocols like OAuth2, SAML, or OpenID Connect?

2. Which language do you use most day to-day? Java or Python, and can you describe a project where you built or optimized a secure backend service? (Do not have to get too technical but client wants to know they have projects they can speak about).

3. Have you worked in any regulated environments like healthcare or finance where compliance (HIPAA, SOC 2, ISO 27001, etc.) was important? (Even if not healthcare, candidates should show structured thinking about compliance and security standards)

4. What interests you about working on healthcare technology, and are you comfortable working hybrid in Pleasanton three days a week?