Job Title: Senior Backend Engineer Agentic Workflows - Hybrid 3 days a week
Location:
NYC NY working at a Healthcare Company in dental related field Hybrid
Remote Work Policy
In office Hybrid 3 days with in office Monday Wednesdays and Thursdays
Visa Sponsorship
Available
Relocation - NOT Allowed
Client Overview:
Client is a rapidly growing start-up 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dental healthcare providers by simplifying supply ordering providing transparent pricing and modernizing a previously outdated ordering process.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 closeknit team that enjoys working together every day to solve realworld 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 as a Senior Backend Engineer at Torch youll play a key role in evolving our platforms architecture building high-performance distributed systems and developing agentic workflows that power our next generation of AI-enabled product experiences. Youll 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 Torchs platform.
- Mentor and guide other engineers on best practices on both backend engineering and agentic workflows.
Interview Stages : three interviews
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.
Benefits
1. Can you walk me through your experience with Identity and Access Management systems. Specifically any work youve 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
Sr backend Engineer - Design integrate and operate LLM-powered & 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 Torchs platform. Mentor and guide other engineers on best practices on both backend engineering and agentic workflows. What we are looking for: Minimum of 8-10 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.