Senior AI Engineer

Salary: $73,000 - 113,000 per year Requirements:

• Strong professional experience with Python and TypeScript/JavaScript
• Experience with backend frameworks such as FastAPI, Node.js, or similar
• Solid knowledge of REST APIs, webhooks, SQL, and relational databases
• Hands-on experience with PostgreSQL, Redis, vector databases, Docker, Git/GitHub, and cloud platforms such as AWS, Azure, or GCP
• Practical experience with CI/CD, production monitoring, and observability
• Deep familiarity with modern AI tools and methods including OpenAI, Anthropic, Gemini, open-source LLMs, RAG, embeddings, vector search, structured outputs, function/tool calling, agentic architectures, prompt engineering, evaluations, benchmarking, fine-tuning, and AI safety/guardrails
• Experience with frameworks such as LangGraph, LangChain, LlamaIndex, PydanticAI, or equivalent tools is valued
• 7+ years of software engineering experience preferred
• 3+ years of experience building ML/AI applications preferred
• Demonstrated production LLM experience preferred
• Strong computer science or engineering fundamentals preferred
• Bachelors or Masters degree in Computer Science, Engineering, AI, Mathematics, or a related field preferred, with exceptional practical ability able to offset formal education

• Design, build, deploy, and continuously improve production-grade AI systems that deliver measurable business results
• Develop AI applications, agents, copilots, and automation solutions
• Architect multi-agent and agentic workflows for complex business operations
• Build LLM-based applications using commercial and open-source models
• Create RAG systems, vector search solutions, knowledge systems, and enterprise AI search capabilities
• Develop structured and unstructured data ingestion pipelines
• Build dependable APIs and backend services that support AI products
• Design model routing, tool calling, memory, context handling, and orchestration systems
• Create frameworks for AI evaluation, testing, observability, and monitoring
• Improve latency, accuracy, reliability, and inference cost efficiency
• Automate or augment workflows across sales prospecting, lead qualification, customer service, drug testing, background and employment screening, compliance review, document analysis, telehealth operations, order processing, revenue-cycle work, financial analysis, employee training, internal knowledge management, and executive reporting
• Turn business problems into deployable AI products in partnership with leadership and business teams
• Handle technical architecture, prototyping, full-stack development, backend engineering, API integrations, AI model integration, database architecture, cloud deployment, CI/CD, testing, monitoring, documentation, and production support
• Build integrations with systems such as HubSpot, Shopify, WooCommerce, background-screening platforms, drug-testing systems, telehealth platforms, laboratory systems, payment systems, ERP/accounting platforms, internal databases, and third-party healthcare APIs
• Implement security and compliance controls including role-based access, audit logging, encryption, secure API design, data isolation, human-in-the-loop review, output validation, model evaluation, hallucination/error monitoring, PII/PHI protection, and vendor/model risk assessment
• Demonstrate production AI systems, architecture decisions, deployed workflows, measurable business impact, code quality, evaluation methods, and safe handling of sensitive healthcare and employment data

• AI
• API
• AWS
• Architect
• Azure
• Backend
• CI/CD
• Cloud
• Docker
• ERP
• FastAPI
• Fine-tuning
• GCP
• Git
• GitHub
• HubSpot
• Support
• JavaScript
• LLM
• PostgreSQL
• Python
• RAG
• REST
• Redis
• SQL
• Security
• Shopify
• TypeScript
• NodeJS
• AI Agents
• Machine Learning

More:

We are a technology-driven healthcare and employment-screening organization working across drug and diagnostic testing, background checks, employment screening, telehealth, healthcare fulfillment, and 503A/B2B healthcare services. We are hiring a Senior AI Engineer / AI Platform Developer to build production AI products that improve revenue, productivity, accuracy, customer experience, and operating leverage. This is an in-person role for a builder who can own important systems end to end, work closely with leadership, and contribute in an AI-first organization focused on real business outcomes.

last updated 34 week of 2026