Haystack
← Back to Jobs
Technology

AI Platform Engineer

Nineteen Eleven SolutionsMemphis, TN🇺🇸United StatesPosted 15 Jul 2026

Why This Role Stands Out

This AI Platform Engineer role offers a fantastic opportunity to shape innovative AI solutions and grow your expertise in either infrastructure or application development. You'll thrive here if you're a mid-senior engineer eager to take ownership, mentor others, and contribute to impactful, scalable AI projects within a collaborative environment. Apply now to join a forward-thinking team and advance your career in cutting-edge AI technology.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Job Title: AI Platform Engineer II (Local candidates Only)
Location: Memphis, TN
Duration: 12+ Months Contract 
Local to Memphis candidates Only 
 
 

We are seeking an AI Platform Engineer II to support the design, development, and delivery of AI solutions. This role can focus on either AI infrastructure (LLM platform, backend systems, cloud engineering) or AI application development (end-user experiences, integrations). The ideal candidate will work independently on moderate features and short-term projects, collaborate with cross-functional teams, and contribute to secure, scalable, and impactful AI solutions.

This position requires independent ownership of end-to-end feature delivery and includes mentoring Engineer I-level peers.

 
Essential Job Functions
 
Platform & Application Development
 
  • Contribute to the development and maintenance of LLM gateways, retrieval-augmented generation platforms, or AI-powered applications.
  • Depending on specialization, focus on either:
  • Building and optimizing backend AI infrastructure, cloud services, and data pipelines or Designing and implementing AI-powered user experiences, integrations, and APIs.
  • Participate in the integration of AI solutions with enterprise systems and data sources.
  • Independently develops APIs and automation scripts for data integration and platform scalability.
 
Security, Governance, and Observability
 
  • Support the implementation of security, compliance, and governance controls for AI systems.
  • Assist with logging, monitoring, and reporting for auditability and usage insights.
     
Engineering & DevOps
 
  • Develop and deploy AI applications using CI/CD pipelines and containerized environments (Docker, Kubernetes).
  • Apply DevOps practices such as dependency management, vulnerability scanning, and role-based access as appropriate to project scope.
 
Collaboration & Delivery
 
  • Work with business/product stakeholders to translate requirements into AI features or applications.
  • Collaborate with senior engineers and platform teams to adopt new capabilities and provide feedback.
  • Participate in agile development processes (Scrum) to deliver projects efficiently.
  • Mentoring or reviewing work from Analyst and Engineer I-level team members
     
Qualifications
 
  • Bachelor’s in Computer Science, Software Engineering, Infrastructure Engineering, Cloud Engineering, or related field (or equivalent experience).
  • 5–7+ years of experience in software development, infrastructure engineering, or cloud engineering, with demonstrated proficiency in either AI infrastructure or AI application development.
  • Experience building backend applications and APIs (REST/GraphQL/gRPC) or developing user-facing AI applications.
  • Familiarity with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) or cloud-native development (AWS, Azure, Google Cloud Platform).
  • Proficiency in at least one modern programming language (Python, Java, TypeScript, etc.).
  • Experience with CI/CD pipelines and containerization (Docker, Kubernetes) is preferred.
  • Strong problem-solving and collaboration skills.
  • Excellent written and verbal communication skills.
 
Nice to Have:
 
Experience with vector databases, retrieval-augmented generation, or embedding models.
Exposure to enterprise security and compliance frameworks.
Familiarity with monitoring/observability stacks (Splunk, AWS CloudTrail, ScienceLogic).
Experience building chatbots, virtual assistants, or integrating AI into production systems.
 
Impact
 
AI Platform Engineer II plays a key role in delivering secure, scalable, and impactful AI solutions, supporting both infrastructure and application development. This role enables teams to innovate and grow, while building personal expertise and contributing to the organization’s AI strategy. This role demonstrates full ownership of development cycles and contributes to mentoring junior engineers, representing a significant step in technical maturity.

Skills

Docker
AWS
Scrum
Splunk
Agile
Azure
Google Cloud
GraphQL
Java
Kubernetes
LLM
Python
REST
TypeScript
gRPC

Similar jobs

Apply now