Senior Engineer – Artificial Intelligence

Jobtailor; California (MO); On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor is seeking an experienced software engineer to design, develop, and deploy large-scale distributed AI applications powering customer self-service across voice, chat, SMS, and email channels within a CRM environment.

You will collaborate with engineering, product, and data science teams to translate business requirements into scalable AI/ML solutions, ensuring reliability and performance in cloud deployments.

Qualifications

• 4+ years of professional software development experience within a Python or Java framework (J2EE, web containers and Java).
• 4+ years of experience in open-source frameworks.
• 3+ years of experience with architecture and design.
• 3+ years of experience with AWS, GCP, Azure, or another cloud service.
• 2+ years of experience with Microsoft Dynamics CRM, Microsoft Power Platforms preferred.
• Hands-on proficiency with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++.
• Proven experience designing, developing, and deploying AI or machine learning models in production environments, with a focus on scalability and performance.
• Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS).

Responsibilities

• Design, develop, and deploy large-scale distributed AI applications across multi-channel CRM.
• Collaborate with cross-functional teams to translate requirements into scalable AI/ML solutions.
• Ensure system reliability, scalability, and performance with best practices in architecture, testing, and monitoring.
• Stay at the forefront of AI and distributed systems research, bringing innovative approaches into production environment.

Skills

Python

Java

AI/ML frameworks

Cloud platforms

Docker

Kubernetes

Architecture

Dynamics CRM

Power Platform

SQL

NoSQL

Tools

TensorFlow

PyTorch

Azure Tools

MS Power Platform

Job description

• Design, develop, and deploy large-scale distributed AI applications that power customer self-service across multiple communication channels (voice, IVR, chat, SMS Email) in CRM application.
• Build and optimize multi-agent systems that enable intelligent, collaborative decision-making to improve automation and customer experience.
• Collaborate with cross-functional teams (engineering, product, data science) to translate business requirements into scalable AI/ML solutions.
• Ensure system reliability, scalability, and performance through best practices in architecture, testing, and monitoring.
• Stay at the forefront of AI and distributed systems research, bringing innovative approaches and tools into production environment.
• Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.

Requirements

• 4+ years of professional software development experience within a Python or Java framework (J2EE, web containers and Java)
• 4+ years of experience in open-source frameworks
• 3+ years of experience with architecture and design
• 3+ years of experience with AWS, GCP, Azure, or another cloud service
• 2+ years of experience with Microsoft Dynamics CRM, Microsoft Power Platforms preferred.
• Hands-on proficiency with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch) and programming languages such as Python, Java, or C++.
• Proven experience designing, developing, and deploying AI or machine learning models (LLMs) in production environments, with a focus on scalability and performance.
• Strong software engineering background with expertise in building large-scale distributed systems, preferably in cloud environment (Azure or AWS).

Core Competencies

Demonstrates expertise in designing, developing, and deploying large-scale distributed AI applications, with a strong focus on scalability, performance, and collaboration across cross-functional teams. Proficient in utilizing modern AI/ML frameworks and cloud services to enhance customer self-service solutions.

Highest-signal resume keywords

• Python Programming
• AI/ML Frameworks (TensorFlow, PyTorch)
• Cloud Services (AWS, GCP, Azure)
• Microsoft Dynamics CRM
• Architecture and Design

ATS Optimization Keywords

Hard Skills

• Software Development
• Distributed Systems
• Machine Learning Models
• NoSQL Databases
• SQL Programming
• Container Orchestration (Docker, Kubernetes)
• Open-Source Frameworks
• Java Frameworks (J2EE)
• AI Application Development
• Performance Optimization

Soft Skills

• Collaboration
• Problem-Solving
• Communication

Industry Keywords

• Customer Experience
• Automation
• Self-Service Solutions
• Cross-Functional Teams
• Scalability

Tools & Technologies

• Azure Tools and Services
• Microsoft Power Platforms
• IVR Systems
• Chat Systems
• SMS Communication