AI Software Architect​/Developer

Overview

Who We Are: Dose Spot is a PE-backed start-up in the electronic prescribing software market. Dose Spot and its subsidiary, pVerify, offer an industry-leading insurance verification solution. We are on a hyper-growth curve at the intersection of software and healthcare, and we seek great team members to capitalize on opportunities and improve the healthcare experience for patients and doctors alike. Dose Spot and pVerify have an exciting opportunity to join a growing team and ensure mission-critical prescriptions and verifications are delivered on time and without error.

We are seeking an AI Software Architect/Developer to join our dynamic team. The ideal candidate will play a key role in building out the AI initiatives program from the ground up. You will be part of a focused team with the mission to evaluate and build prototypes/solution frameworks for various business requirements, including new product features/enhancements, engineering team excellence assisted by AI, and other improvements by leveraging AI within the broader technology organization.

• Serve as a cross-functional AI thought partner, driving the strategic roadmap in partnership with Product, Engineering, and Executive leadership. Align AI innovation with company-level objectives and outcomes.

• Lead technical and strategic evaluation of AI opportunities, framing and executing PoCs/PoTs with clear business cases, conceptual models, and measurable impact.

• Set technical vision and architectural guardrails for AI/GenAI systems, ensuring alignment with scalability, compliance, and long-term platform strategy.

• Provide architectural leadership, set up best practices, and enable the engineering team to leverage AI to improve productivity.

• Act as principal-level SME, architecting AI/ML adoption across product teams. Shape internal standards, advise on build vs. buy decisions, and mentor senior developers.

• Act as subject matter expert enabling multiple engineering teams to adopt AI-enhanced workflows. Provide architectural leadership and mentorship to embed AI best practices.

• Lead competitive AI landscape scanning, synthesizing emerging research and tooling into actionable guidance for engineering leadership and product strategy.

• Lead technical discussions and make critical architectural decisions.

• Ensure adherence to SOLID principles, design patterns, microservices architecture, and domain-driven design (DDD).

• Develop proof-of-concepts to evaluate new technologies and frameworks.

• Drive best practices in CI/CD, Dev Ops, and cloud deployment strategies.

• Guide development teams in adopting modern AI-assisted development technologies.

• At least 12 years of software development experience (.NET/C# or Java) with a strong focus on architecture.

• 2+ years hands-on experience building applications using LLMs (GPT, Claude, LLaMA, etc.) or GenAI frameworks (Lang Chain, Llama Index, etc.) and using RAG techniques to enhance LLMs.

• Proven track record building and scaling high-transaction SaaS platforms, ensuring performance, reliability, and security in mission-critical environments.

• Demonstrable experience using proprietary data for fine-tuning, prompt orchestration, search, retraining, and monitoring model outputs.

• Demonstrable experience in evaluating model performance using thorough quantitative and qualitative benchmarks, including hallucination detection, latency, and prompt quality.

• Experience developing AI-assisted solutions in the Healthcare industry, with awareness of ethical AI practices within healthcare, including data privacy and de-identification (a strong plus).

• Solid understanding of RESTful APIs, backend development in high-transaction-volume applications.

• Proficiency in cloud platforms (Azure or AWS) and containerization (Docker/Kubernetes).

• Experience with microservices architecture, event-driven design, and serverless computing.

• Expertise in database design with relational and No
  
  SQL databases.

• Hands-on experience with Azure Dev Ops, Git, and CI/CD pipelines.

• Strong understanding of security best practices, authentication mechanisms (OAuth, JWT, OpenID Connect).

• Deep expertise in enterprise performance architecture, caching, latency optimization, and failover strategies for mission-critical systems.

• Led Agile at scale (SAFe or squad model); partnered with PM/TPMs to align sprint planning to strategic tech investments.

• Excellent executive communication skills, with the ability to influence diverse stakeholders and translate advanced technical topics into business outcomes.

• Proven ability to collaborate across cross-functional teams including Engineering, Product, Cloud Ops, and Executive stakeholders to drive AI-enabled transformation; experience in leading through influence, creating alignment across teams without direct authority by building credibility, communicating vision, and unblocking friction points.

• Adept at influencing architectural and product decisions at the leadership level by framing trade-offs, navigating…