Backend Engineer, Agentic AI (Staff+ Level)

Granted; Town of Tonawanda (NY); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Granted is seeking an engineer to join our Automations team in New York. You will design scalable systems and APIs, optimizing AI-driven workflows to enhance our healthcare solutions.

Ideal candidates will have experience with distributed systems and AI model integration. This role promotes a hybrid work environment where the local team collaborates in-office four days a week.

Qualifications

• Experience in creating scalable APIs and systems.
• Strong understanding of AI-driven engineering techniques.
• Ability to mentor and shape technical strategies.

Responsibilities

• Design and build scalable systems and APIs for agentic workflows.
• Collaborate with Product and Engineering teams on automation.
• Optimize AI pipelines for medical billing and insurance claims.

Skills

Distributed systems design

AI model integration

Scalable system design

API development

Education

Bachelor's degree in Computer Science or related field

Tools

AI frameworks (e.g., TensorFlow, PyTorch)

Version control systems (e.g., Git)

Job description

Mission

The US healthcare system is complex, error-prone, and financially draining. Medical bills and insurance coverage shouldn’t be this hard to navigate. At Granted, we’re building the one solution every American can turn to for help. Thanks to AI and new regulations, Granted can fight claim denials, correct billing errors, negotiate bills, and make coverage easier to understand—saving people time, money, and stress. Our goal is simple: to be the #1 platform that empowers all Americans to take charge of their healthcare.

About Us

Founded by a former Oscar Health leader, we’re a seed-stage company with $17M in funding. We’re lucky to be backed by the founders and investors at Hugging Face, Rocket Money, Oscar Health, CaseText, Forerunner Ventures, RRE Ventures, and more. We are well‑funded for the next few years.

Location: While parts of our engineering team operate remotely elsewhere in the US, we strongly encourage New York‑based applicants who are excited to engage in a more in‑person hybrid dynamic. Local employees typically work from our Chelsea office Monday through Thursday, with Fridays working from home.

About the Role

The Automations pod turns complex healthcare case work into scalable, agentic workflows — driving automation coverage, lowering cost to serve, and ensuring users get fast, accurate outcomes without needing to navigate the system themselves.

As an engineer on this team, you’ll help build the intelligence layer behind these workflows — designing distributed systems, integrating AI models, and ensuring everything runs reliably at scale.

What You’ll Do

• Design and build scalable systems and APIs that power agentic workflows from case activation through resolution.
• Push the frontier of AI‑driven engineering, working on prompt orchestration, agent frameworks, and model evaluation loops.
• Collaborate closely with Product, Engineering, and domain experts to translate complex healthcare processes into reliable automations.
• Architect systems for scale and reliability, ensuring human escalation pathways are transparent and seamless.
• Play a key role in shaping the pod’s technical strategy, and mentor others as the team grows.

What You Might Work On

• Creating and optimizing AI pipelines to identify, categorize, and resolve errors in medical billing and insurance claims.
• Building automated agents and backend services that handle complex case flows with minimal human intervention.