Senior Software Engineer

Dynamics Solutions, LLC.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Dynamics Solutions, LLC. is seeking senior-level product engineers to build an end-to-end care delivery platform for chronic neurodegenerative conditions.

You will architect the technical backbone, including symptom tracking, trial matching, and automated benefits coordination, while partnering with clinicians and caregivers to ship high-impact solutions. You will apply AI and LLMs at the architectural core to streamline record synthesis, flag early functional decline, and automate complex

Qualifications

• 5+ years of software engineering experience shipping end-to-end features.
• Full-stack versatility across frontend and backend systems.
• Product ownership with emphasis on clinical/user outcomes.
• Experience designing intuitive, accessible frontend for varied users.
• Strong API, microservice design and integration skills.
• Security, privacy and governance in high-compliance environments.
• Applied AI and LLM workflows in production.
• Experience scaling systems and teams in startups.
• High pedigree from top-tier organizations or programs.
• Willingness to work on-site 5 days a week.

Responsibilities

• Architect the technical backbone of the care model, including longitudinal symptom tracking and clinical trial matching engines.
• Build intelligent care navigation workflows and automated benefits coordination.
• Collaborate with clinicians, navigators, patients and families to identify bottlenecks and ship high-impact product solutions rapidly.
• Leverage AI and LLM agents at the core to synthesize medical records, surface early warnings, and automate administrative workflows.
• Support production systems under heavy load with scalable infrastructure and observability.

Skills

5+ yrs exp

Full-stack

Product ownership

Frontend design

Backend design

APIs

Security & Governance

AI & LLMs

On-site collaboration

Job description

Our client is building the first unified, end-to-end care delivery platform for chronic neurodegenerative conditions.

Millions of families currently navigate severe cognitive disorders through a broken, fragmented healthcare system, bouncing between specialist shortages, primary care delays, complex social benefits, and immense out-of-pocket costs. Unpaid family caregivers contribute billions of hours of uncoordinated, exhausting labor, often relying on nothing more than handwritten notes to track clinical decline and manage daily care.

Most patients receive an accurate diagnosis years after their first symptoms appear, missing the critical window where early disease-modifying therapies can meaningfully alter their trajectory.

They are building the modern clinical infrastructure this space has always lacked: an integrated care model combining specialized clinical care, dedicated care navigation, and purpose-built software. They collaborate directly with health systems, outpatient specialty clinics, and leading academic medical institutions. Our client is a venture-backed, Series A health-tech company supported by premier global investors and accelerators.

Why Now

A rare convergence of regulatory, diagnostic, and clinical breakthroughs has fundamentally changed the landscape:

Dedicated Alternative Payment Models: Federal payers have recently introduced national, longitudinal value-based payment frameworks designed explicitly to fund coordinated, non-billable support, including continuous care navigation, 24/7 clinical access, individualized care plans, and caregiver respite.

Decentralized Biomarker Diagnostics: Novel blood-based biomarker assays have achieved regulatory clearance, shifting diagnosis away from specialized academic centers and directly into high-volume community clinics and primary care practices.

Actionable Treatment Pathways: The approval of disease-modifying therapies, alongside a rapidly growing clinical trial pipeline targeting disease progression, has created an urgent demand for coordinated specialty care that traditional provider networks simply do not have the clinician bandwidth to meet.

Solving this imbalance between surging demand and a severe specialist deficit requires software-driven clinical leverage. That is the core mission.

The Role

• We are hiring senior- and staff-level product engineers who want to deploy high-leverage technology against a massive human challenge.
• You will help architect the technical backbone of the care model: longitudinal symptom tracking, clinical trial matching engines, intelligent care navigation workflows, and automated benefits coordination. You won’t just be implementing pre-baked feature specs. You will work side-by-side with internal clinicians, navigators, patients, and their families to identify operational bottlenecks and ship high-impact product solutions rapidly.
• Our client is leveraging applied AI and LLM agents at the architectural core of their operations. They use models to synthesize years of unstructured, fragmented medical records into clear clinical summaries, surface early flags of functional decline before emergencies happen, automate complex administrative workflows (such as prior authorizations), and provide immediate, context-aware support to caregivers around the clock.

Requirements

• 5+ years of software engineering experience with a proven track record of shipping end-to-end product features independently.
• True Full-Stack Versatility: Comfortable moving across the entire stack, from high-performance frontend interfaces to resilient backend distributed systems.
• Product Ownership: Highly user-centric mindset; you prioritize clinical and user outcomes over ticket volume and have experience driving products from concept through launch.
• Frontend Craft: Proven experience designing intuitive, accessible, and responsive user experiences for varied user bases (clinicians, internal operators, and non-technical consumers).
• Robust Backend & Schema Design: Demonstrated skill in designing clean APIs, scalable microservices/services, and reliable integrations with messy external legacy endpoints.
• Security, Privacy & Governance: Deep understanding of data protection, secure authentication patterns, and operating within high-compliance environments (e.g., handling sensitive personal health data).
• Applied AI & LLMs: Practical experience building, fine-tuning, evaluating, or orchestrating LLM-based workflows and agents in production environments.
• Scaling Systems & Teams: Experience running production systems under significant load, along with the judgment to balance velocity and technical debt within a rapidly growing startup.
• Strong Technical Pedigree: Prior experience at top-tier engineering organizations, high-growth venture-backed startups, or rigorous academic programs.
• On-Site Collaboration: Willingness to work in-person 5 days per week to maintain tight feedback loops directly with internal clinical and operations teams.

Nice-to-Have

• Prior exposure to health-tech systems, such as EHR/FHIR integrations, health insurance claims data, or value-based care delivery frameworks.
• Deep experience in cloud infrastructure, CI/CD pipelines, system observability, and platform reliability engineering.
• Background in data engineering, modern data warehousing, and constructing analytics pipelines over complex longitudinal records.