This role is ideal for a mid-level Engineer (2–5+ years) who enjoys bridging the gap between database management and modern AI implementation. The team is looki
Work type: remote
Location: Remote, USA
Salary: $100,000 – $122,000/yr
Type: Full-time
This role is ideal for a mid-level Engineer (2–5+ years) who enjoys bridging the gap between database management and modern AI implementation. The team is looking for a "builder" who can take architectural concepts and turn them into production-ready automation tools. You should have a heavy background in the Microsoft ecosystem, specifically using C#, Python, or SQL within Azure to streamline operational workflows. A standout feature of this position is the opportunity to move beyond AI "experimentation" and actually deploy LLM-driven agents and RAG patterns into a live healthcare SaaS environment. The role is fully remote within the US, offers a competitive salary up to $122k, and places you in a high-impact "Technical Services" squad that directly influences how the company scales its customer onboarding. **You might be a good fit if you:** * Have hands-on experience building apps or workflows in **Microsoft Azure** (Functions, Logic Apps, or AI Foundry). * Are proficient in **SQL** and relational database design, but also comfortable scripting in **C# or Python**. * Want to integrate **LLMs and AI agents** into structured, real-world business processes. * Have an interest in the healthcare space, specifically working with data standards like **HL7 or FHIR**.
Team Summary:
Technical Services is evolving from delivering projects to building intelligent systems. Our team provides solutions that streamline internal processes, improve customer implementations, and deliver scalable, autonomous services across our healthcare platform.We work closely with Engineers, solution architects, and product teams to bring LLM-driven agents and intelligent workflows into production across a dynamic healthcare SaaS environment.Reporting into the Sr Manager, Technical ServicesJob Summary:
We are looking for a Solutions Engineer to design and implement database-driven, AI-enabled workflows that reduce manual implementation effort, accelerate customer onboarding, and improve data accuracy and reliability across our healthcare SaaS platform. This role focuses on enabling scalable, repeatable delivery models through structured automation.You will translate architectural concepts into production-ready systems that automate operational work using the Microsoft Azure ecosystem. This is a hands-on engineering role centered on building durable automation solutions, not experiments.Key Responsibilities:•Build Intelligent Operational Workflows:
Design and implement database-driven operational workflows that automate data transformation, validation, and configuration processes. Integrate LLM or AI services into structured workflows where appropriate, enabling autonomous processes that can be triggered, executed, logged, and monitored reliably. The objective is to reduce manual intervention across implementation and support operations while improving efficiency and consistency.
•Translate Architecture into Production Systems:
Partner with solution architects to convert technical designs into scalable, maintainable implementations. Establish structured data contracts and schemas to ensure clarity and consistency across systems. Implement appropriate guardrails, logging, monitoring, and observability practices to support operational stability. Ensure workflows meet security, compliance, and production-readiness standards prior to deployment.
•Scale Through Cloud-Native Engineering:
Leverage Microsoft Azure services (Functions, App Services, Logic Apps, Azure AI) to design solutions that are modular, version-controlled, and CI/CD enabled for continuous improvement.
•Embed AI Into Real Workflows:
Integrate LLMs into structured database workflows and support retrieval-based (RAG) patterns. Implement evaluation and monitoring loops to ensure intelligent services improve execution quality without adding noise.
Your Key Strengths:
•2–5+ years of production experience in SQL, C#, Python, or JavaScript
•Strong relational database design, scripting, and query optimization skills.
•Experience integrating AI or LLM services, with exposure to frameworks like Semantic Kernel, Copilot Studio, or AI Foundry.
•Demonstrated ability to build scalable, repeatable solutions and move from concept to production in ambiguous environments.
•Strong problem-solving skills in ambiguous environments with the ability to work seamlessly across product, integration, and delivery teams.
•Strong Cross functional work experience with Engineering, Implementations, or Security teams.
•Experience building and deploying applications in the Microsoft Azure ecosystem.
•Familiarity with CI/CD pipelines and structured Git workflows.
Nice to Haves:
•Experience in healthcare SaaS environments
•Familiarity with HL7, FHIR, or healthcare data standards
•Understanding of retrieval-based workflows or vector databases.
•Exposure to Ai Agent Orchestration or Multi-Agent workflows
Team Summary:
Technical Services is evolving from delivering projects to building intelligent systems. Our team provides solutions that streamline internal processes, improve customer implementations, and deliver scalable, autonomous services across our healthcare platform.We work closely with Engineers, solution architects, and product teams to bring LLM-driven agents and intelligent workflows into production across a dynamic healthcare SaaS environment.Reporting into the Sr Manager, Technical ServicesJob Summary:
We are looking for a Solutions Engineer to design and implement database-driven, AI-enabled workflows that reduce manual implementation effort, accelerate customer onboarding, and improve data accuracy and reliability across our healthcare SaaS platform. This role focuses on enabling scalable, repeatable delivery models through structured automation.You will translate architectural concepts into production-ready systems that automate operational work using the Microsoft Azure ecosystem. This is a hands-on engineering role centered on building durable automation solutions, not experiments.Key Responsibilities:•Build Intelligent Operational Workflows:
Design and implement database-driven operational workflows that automate data transformation, validation, and configuration processes. Integrate LLM or AI services into structured workflows where appropriate, enabling autonomous processes that can be triggered, executed, logged, and monitored reliably. The objective is to reduce manual intervention across implementation and support operations while improving efficiency and consistency.
•Translate Architecture into Production Systems:
Partner with solution architects to convert technical designs into scalable, maintainable implementations. Establish structured data contracts and schemas to ensure clarity and consistency across systems. Implement appropriate guardrails, logging, monitoring, and observability practices to support operational stability. Ensure workflows meet security, compliance, and production-readiness standards prior to deployment.
•Scale Through Cloud-Native Engineering:
Leverage Microsoft Azure services (Functions, App Services, Logic Apps, Azure AI) to design solutions that are modular, version-controlled, and CI/CD enabled for continuous improvement.
•Embed AI Into Real Workflows:
Integrate LLMs into structured database workflows and support retrieval-based (RAG) patterns. Implement evaluation and monitoring loops to ensure intelligent services improve execution quality without adding noise.
Your Key Strengths:
•2–5+ years of production experience in SQL, C#, Python, or JavaScript
•Strong relational database design, scripting, and query optimization skills.
•Experience integrating AI or LLM services, with exposure to frameworks like Semantic Kernel, Copilot Studio, or AI Foundry.
•Demonstrated ability to build scalable, repeatable solutions and move from concept to production in ambiguous environments.
•Strong problem-solving skills in ambiguous environments with the ability to work seamlessly across product, integration, and delivery teams.
•Strong Cross functional work experience with Engineering, Implementations, or Security teams.
•Experience building and deploying applications in the Microsoft Azure ecosystem.
•Familiarity with CI/CD pipelines and structured Git workflows.
Nice to Haves:
•Experience in healthcare SaaS environments
•Familiarity with HL7, FHIR, or healthcare data standards
•Understanding of retrieval-based workflows or vector databases.
•Exposure to Ai Agent Orchestration or Multi-Agent workflows