Staff Software Engineer - AI Platform Engineer
Indexed description
Key Responsibilities:
- Architect and build agentic AI solutions — including autonomous workflows, tool-calling agents, RAG pipelines, and LLM integrations — that are used daily by WellSky engineers and the Solutions organization.
- Set the technical direction for AI-first engineering on the Engineering Enablement team, guiding the Senior Software Engineer and defining standards for agentic development, prompt engineering, context management, and LLM integration across WellSky repositories.
- Own the AI enablement platform: agent skills, CI/CD automation, developer tooling, and shared libraries that raise the productivity floor for the entire engineering organization.
- Lead training sessions, workshops, demos, and office hours that build AI-first engineering skills and practices across WellSky’s engineering organization.
- Partner with the Solutions organization to identify opportunities and integrate agentic workflows into SDLC and customer-facing delivery processes.
- Embed directly with product engineering teams to identify where agentic AI delivers real value, then build and hand off the tooling that makes adoption stick.
- Evaluate agent output quality, establish evaluation and observability practices, and ensure AI tooling is safe and reliable before rollout.
- Serve as WellSky’s internal authority on agentic AI development patterns, emerging tooling, and best practices.
- Write clear, high-quality documentation, guides, and enablement materials consumed by hundreds of engineers.
- Collaborate with engineering leaders to prioritize the highest-value AI enablement opportunities across the organization.
- Perform other job duties as assigned.
- Bachelor’s degree in a related field, or equivalent work experience.
- 8-12 years of relevant software engineering experience, with substantial depth in .NET / C#.
- At least 2 years of hands-on experience developing with LLMs, including a minimum of 1 year architecting and building agentic AI solutions — agentic workflows, tool/function calling, RAG, prompt and context engineering, and agent evaluation.
- Must have shipped agentic systems to production that are used by real users; prototypes and proofs of concept alone do not meet this bar.
- Strong, current .NET / C# skills (.NET 8 or newer, ASP.NET Core); must be able to work directly in WellSky’s .NET codebases and embed with .NET product teams.
- Proficiency in Python, the primary language for AI tooling, agent platforms, and data pipelines on this team.
- Experience building internal developer tools, CI/CD automation, or shared libraries for other engineers — not just product features.
- Hands-on experience integrating LLM APIs (Anthropic, OpenAI, or Vertex AI), including tool/function calling and streaming at production scale.
- Daily use of AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.
- Demonstrated ability to lead technical direction, guide senior engineers, and drive adoption of new practices across a team or organization.
- Excellent written communication skills; comfortable producing documentation and enablement materials for a large technical audience.
- Comfortable running training, demos, and office hours for engineers at all levels.
Preferred Qualifications:
- TypeScript / JavaScript proficiency; React experience strongly preferred.
- Experience with event-driven messaging systems — Apache Kafka, Google Pub/Sub, Azure Service Bus, or RabbitMQ (Kafka is the standard on our go-forward platform).
- Experience with Model Context Protocol (MCP) — building MCP servers, clients, and agent integrations (strong differentiator).
- PostgreSQL and vector database experience — pgvector, Pinecone, Weaviate, or Vertex AI Search.
- Google Cloud Platform experience — Cloud Run, Vertex AI, GKE (Azure or AWS also considered).
- LLM evaluation and observability experience — evals, tracing, prompt regression testing.
- Familiarity with agent and LLM frameworks such as Claude Agent SDK, Semantic Kernel, Microsoft.Extensions.AI, LangChain, or LangGraph.
- Domain-Driven Design and CQRS experience (MediatR or equivalent).
- OpenTelemetry and distributed tracing experience — Jaeger, Seq, Datadog, or Grafana.
- Experience guiding or mentoring senior engineers.
- Healthcare industry experience preferred; HIPAA and PHI handling experience weighted highly.
- Consulting instinct — able to embed with a team, diagnose where AI actually helps, and say no clearly where it does not.
- High tolerance for ambiguity and a fast-moving tooling landscape.
- Willing to work additional or irregular hours as needed
- Must work in accordance with applicable security policies and procedures to safeguard company and client information
- Must be able to sit and view a computer screen for extended periods of time
Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:
- Excellent medical with Rx, dental, and vision benefits
- Mental Health support through EAP
- Generous paid time off, plus 13 paid holidays
- 100% vested 401(K) retirement plans
- Educational assistance up to $2500 per year
Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.
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