AI Platform Engineer II

Ares Holdings, LLC

Memphis, TN, United States

26 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

0 years minimum

Working hours

Regular working hours

Job source

www.nextech-solutions.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Software Applications Cloud Engineering Code Review Continuous Integration Data Integration Monitoring of Systems Python (Programming Language) Scrum Methodology

+17 more

Software Engineering Systems Integration TypeScript AI Infrastructure Data Logging Enterprise Software Applications Chatbots Large Language Models Generative AI Backend Build Management AI Platforms Kubernetes Information Technology Api Design Docker Programming Languages

Job description

Design, develop, and maintain AI platforms, backend services, and AI-powered applications
Build and enhance LLM gateways, retrieval-augmented generation (RAG) solutions, or other AI-driven systems
Develop APIs, automation, and data integration services to support scalable AI platforms
Integrate AI solutions with enterprise applications and data sources
Implement secure, reliable, and observable AI systems through logging, monitoring, and governance practices
Build and deploy applications using modern DevOps practices, CI/CD pipelines, Docker, and Kubernetes
Collaborate with product owners, business stakeholders, and engineering teams to translate requirements into technical solutions
Participate in Agile/Scrum development processes
Mentor junior engineers through technical guidance, code reviews, and knowledge sharing
Continuously evaluate new technologies and contribute to the evolution of AI engineering best practices

Requirements

The ideal candidate has a strong foundation in either AI platform engineering or AI application development, enjoys solving complex technical challenges, and is passionate about building secure, scalable, and production-ready AI solutions. This role includes ownership of technical deliverables, collaboration across engineering and business teams, and mentoring junior engineers., * Bachelor’s degree in Computer Science, Software Engineering, Cloud Engineering, Infrastructure Engineering, or a related field, or equivalent professional experience

5+ years of experience in software engineering, cloud engineering, infrastructure engineering, or a related technical discipline
Strong experience in either AI infrastructure engineering or AI application development
Experience developing backend applications, APIs, or AI-powered applications
Hands-on experience with one or more modern programming languages such as Python, Java, or TypeScript
Experience working with cloud platforms or modern AI development frameworks
Strong understanding of API development, system integration, and scalable application design
Experience working within Agile development environments
Excellent analytical, communication, and collaboration skills
Ability to independently own features from design through deployment, * Experience with retrieval-augmented generation (RAG), vector databases, embedding models, or LLM-based applications
Familiarity with AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar technologies
Experience with Docker, Kubernetes, and CI/CD pipelines
Knowledge of enterprise security, governance, and compliance practices
Experience with monitoring and observability platforms
Experience building production AI assistants, chatbots, or intelligent automation solutions
Previous experience mentoring junior engineers or reviewing technical work