AI Solutions Engineer

Apptad Inc.

Frisco, TX, United States

15 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$110,000.0 - $200,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Computer Programming Continuous Integration Data Infrastructure Database Queries DevOps

+19 more

Distributed Systems Python (Programming Language) Automation of Marketing Rapid Prototyping Process Software Engineering Software Systems TypeScript Google Cloud Enterprise Software Applications Large Language Models Snowflake Generative AI Kubernetes Data Management Virtual Agents Restful APIs Data Pipelines Docker Databricks

Job description

Partner with customers and internal stakeholders to understand workflows, business challenges, and technical requirements.
Design, develop, and deploy production-ready software solutions using AI/GenAI, data platforms, and cloud technologies.
Build integrations with APIs, enterprise applications, and third-party systems.
Develop rapid prototypes and Proof of Concepts (POCs), iterate based on customer feedback, and transition solutions into production.
Design and maintain scalable data pipelines and workflow automations.
Collaborate with product and engineering teams to influence product roadmap based on customer insights.
Monitor deployed solutions to ensure reliability, scalability, performance, and customer adoption.
Troubleshoot production issues and provide technical guidance during deployments.
Establish engineering best practices, deployment playbooks, and mentor junior engineers.
Communicate technical solutions effectively to both technical teams and executive stakeholders.

Requirements

8+ years of professional software engineering experience delivering production applications.
Strong programming expertise in one or more of:
Python
JavaScript / TypeScript
Java
Go
Experience designing scalable distributed systems and RESTful APIs.
Hands-on experience with AI/GenAI technologies including:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI workflows
Experience integrating enterprise applications, APIs, and automation platforms.
Strong SQL skills and experience with modern data platforms such as:
Snowflake
Databricks
Experience with cloud platforms:
AWS
Microsoft Azure
Google Cloud Platform (GCP)
Experience with Docker, Kubernetes, CI/CD pipelines, and DevOps practices.
Strong customer-facing consulting or implementation experience.
Excellent verbal and written communication skills.
Proven ability to lead projects independently in fast-paced, ambiguous environments.