AI Software Architect / Developer

Who We Are:

PE-backed start-up, DoseSpot is a dynamic and innovative leader in the electronic prescribing software market, and its subsidiary, pVerify, is an industry leading insurance verification solution. We are on a hyper-growth curve at the intersection of the software and healthcare industries. We need great team members to capitalize on these opportunities and improve the healthcare experience for patients and doctors alike. DoseSpot and pVerify have an exciting opportunity to join a fun and growing team, benefit from strong market tailwinds, and be part of an exciting opportunity to ensure mission-critical prescriptions and verifications are delivered on time and without error. 

The Role:

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 - these range from new product features/enhancements, engineering team excellence assisted by AI and other improvements by leveraging AI within the broader technology organization.

What You’ll Do:

• 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, DevOps, and cloud deployment strategies.

• Guide development teams in adopting modern AI assisted development technologies

What You’ll Bring:

• 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 (LangChain, LlamaIndex 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 orchestrations, search, retraining and monitoring model outputs.

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

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

• Solid understanding of RESTful APIs, backend development in a high transaction volume application.

• 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 NoSQL Databases.

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

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

• Deep experti