Intone
From Intone's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We are seeking an AI Solution Engineer for a contract position based in New York, New York.
We are seeking an AI Solution Engineer for a contract position based in New York, New York. This role offers the opportunity to design, build, and deploy enterprise-grade AI applications from concept to production. You will work across frontend, backend, AI, cloud, and data platforms, partnering with business stakeholders, end users, and product owners to translate requirements into secure, production-ready AI solutions.
Design, build, and deploy end-to-end AI-powered enterprise applications.
Create scalable, secure, and maintainable solution architectures.
Build solutions with LLMs, Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.
Develop and orchestrate multi-agent AI workflows using modern agent frameworks and tool calling.
Develop modern frontends with React, TypeScript, Vite, and Tailwind CSS.
Develop backend services and REST APIs with Python, FastAPI, and Flask.
Integrate AI applications with enterprise systems, APIs, databases, authentication providers, and business applications.
Design and implement Azure Data Lake, ETL/ELT pipelines, Spark/Databricks workflows, and Lakehouse architectures.
Deploy and operate cloud-native applications with Azure, Docker, Kubernetes, and CI/CD pipelines.
Implement secure authentication with Microsoft Entra ID, OAuth2, JWT, or SAML.
Establish AI evaluation frameworks, including regression tests, benchmark datasets, human review loops, and acceptance criteria.
Optimize AI applications for latency, scalability, reliability, and cost.
Write unit, integration, and end-to-end tests.
Partner with end users, product owners, and technical leads to gather requirements, run demos, and incorporate feedback.
Ensure responsible AI, governance, security, compliance, monitoring, and observability.
Own the full AI product lifecycle, from ideation through production support.
Define technical architecture, roadmaps, milestones, and release strategies.
Manage production releases, monitoring, and continuous improvement.
Create technical documentation and mentor engineers.
Required
8+ years of experience delivering enterprise AI products from concept to production.
Expertise in AI/ML: LLMs, prompt engineering, RAG, AI agents, MCP, function calling, semantic search, vector databases, LLM evaluation, and guardrails.
Proficiency in Python, SQL, JavaScript, and TypeScript.
Frontend development experience with React, Vite, Tailwind CSS, HTML5, and CSS3.
Backend development experience with FastAPI, Flask, REST APIs, and OpenAPI.
Data engineering expertise with Azure Data Lake, Azure Data Factory, Databricks, Spark, Delta Lake, ETL/ELT, and lakehouse architecture.
Cloud platform experience with Azure OpenAI, Azure AI Foundry, Azure AI Search, AKS, Azure Functions, Azure App Service, Cosmos DB, Azure SQL, Key Vault, and Azure API Management.
DevOps proficiency with Git, GitHub, GitHub Actions, Azure DevOps, Docker, Kubernetes, Helm, and CI/CD pipelines.
Security implementation experience with Microsoft Entra ID, OAuth2, JWT, and secrets management.
Experience in healthcare or another regulated industry.
Experience with HL7 v2, FHIR R4/R5, OMOP CDM, and Epic/Epic Clarity.
Strong communication, stakeholder management, and Agile/Scrum delivery skills.
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