Senior AI/ML Engineer

American IT Systems; Dallas (TX); Hybrid; USD 150,000 - 210,000; Full time

Job summary

American IT Systems is seeking a Senior AI/ML Engineer to join our backend and healthcare AI platform team. You will design and scale production-grade backend APIs, orchestrate multi-agent AI workflows, and integrate multiple LLM providers in a fast-paced environment.

The role emphasizes strong Python expertise, experience with FastAPI or similar async frameworks, and hands-on work with LangGraph, PydanticAI, and Azure services.

Qualifications

• Five+ years of professional software development experience.
• Strong Python skills with production experience using FastAPI or similar async framework.
• Hands-on experience with LLM orchestration frameworks such as LangGraph or PydanticAI.
• Solid understanding of prompt engineering, retrieval augmented generation (RAG) patterns, and AI guardrails.
• Experience with Azure cloud services, including Cosmos DB, Azure Key Vault, and App Configuration.
• Familiarity with Docker, CI/CD pipelines (e.g., GitHub Actions), and containerized deployments.
• Strong knowledge of JWT/OAuth authentication mechanisms and securing Apigee APIs.
• Ability to operate effectively within a small, fast paced team environment with a high degree of ownership.

Responsibilities

• Design, develop, and maintain backend APIs and services using Python 3.12+ and FastAPI.
• Develop and enhance multi agent AI orchestration workflows using LangGraph, LangChain, or PydanticAI.
• Integrate and optimize large language model providers, including OpenAI, Anthropic, and Google GenAI.
• Work with Azure services such as Cosmos DB, App Configuration, Key Vault, Event Hubs, and Application Insights.
• Develop and maintain task handlers for domain specific workflows (e.g., care tasks, medications, scheduling).
• Implement input and output guardrails, prompt engineering techniques, and AI safety patterns.
• Collaborate on architectural decisions, code reviews, and production support activities.
• Develop and maintain automated test suites using pytest.

Skills

5+ years software development

Python proficiency

FastAPI or async framework

LLM orchestration

Prompt engineering & RAG

Azure cloud services

Docker & CI/CD

JWT/OAuth security

ownership in small teams

Tools

LangGraph

PydanticAI

OpenAI Anthropic GenAI

GitHub Actions

Docker

pytest

Azure Cosmos DB

Azure Key Vault

App Configuration

Job description

Senior AI/ML Engineer
Location: 2-days/week preferred will be the Dallas-Fort Worth area

Job Description

We are seeking an experienced Senior Backend / AI Developer to join a dynamic engineering team responsible for developing and scaling a production grade healthcare conversational AI platform. This role will focus on backend service development, AI agent workflows, and system integrations that support patient facing conversational experiences. The ideal candidate will have a strong background in AI/ML engineering, particularly in the context of healthcare applications.

Responsibilities

• Design, develop, and maintain backend APIs and services using Python 3.12+ and FastAPI.
• Develop and enhance multi agent AI orchestration workflows using LangGraph, LangChain, or PydanticAI.
• Integrate and optimize large language model providers, including OpenAI, Anthropic, and Google GenAI.
• Work with Azure services such as Cosmos DB, App Configuration, Key Vault, Event Hubs, and Application Insights.
• Develop and maintain task handlers for domain specific workflows (e.g., care tasks, medications, scheduling).
• Implement input and output guardrails, prompt engineering techniques, and AI safety patterns.
• Collaborate on architectural decisions, code reviews, and production support activities.
• Develop and maintain automated test suites using pytest.

Mandatory Skills

• A minimum of five years of professional software development experience.
• Strong proficiency in Python, with demonstrated production experience using FastAPI or comparable asynchronous frameworks.
• Hands on experience with LLM orchestration frameworks such as LangGraph, PydanticAI, or equivalent systems.
• Solid understanding of prompt engineering, retrieval augmented generation (RAG) patterns, and AI guardrails.
• Experience with Azure cloud services, including Cosmos DB, Azure Key Vault, and App Configuration.
• Familiarity with Docker, CI/CD Pipeline (e.g., GitHub Actions), and containerized deployments.
• Strong knowledge of JWT/OAuth authentication mechanisms and Securing Apigee APIs best practices.
• Ability to operate effectively within a small, fast paced team environment with a high degree of ownership.

Preferred Skills

• Experience within the healthcare domain, including HIPAA Regulation, HL7 (Health Level Seven), and FHIR (Fast Healthcare Interoperability Resources) integrations.
• Experience with PydanticAI and structured LLM output validation.
• Familiarity with OpenTelemetry and observability tooling.
• Exposure to React and TypeScript for limited full stack contributions.