Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Business Growth, Business Solutions, Cloud Computing, Communication Skills, Computer Security, Continuous Deployment/Delivery, Continuous Integration, Conversation Engine, Cross-Functional, Customer Experience, Data Management, DevOps, Docker, Enterprise Protection, GCP (Good Clinical Practices), Government, Healthcare, Information Technology & Information Systems, Infrastructure as a Service (IaaS), Java, Kernel Programming, Mentoring, Microsoft Windows Azure, Presentation/Verbal Skills, Problem Solving Skills, Production Systems, Programming Languages, Python Programming/Scripting Language, Requirements Management, Scripting (Scripting Languages), Scrum Project Management and Software Development, Software Development, Software Engineering, Splunk, Team Player, Telecommunications, User Interface/Experience (UI/UX), Vulnerability Scanners, Writing Skills
Job Title: AI Platform Engineer II
Location: Memphis, TN
Seniority on the skill/s required on this requirement: Mid-Level (II)
Estimated Duration: 18+ months
Work authorization: Must be authorized to work in USA.
Job Summary:
The AI Platform Engineer II supports the design, development, and delivery of AI solutions, focusing on either AI infrastructure (LLM platform, backend systems, cloud engineering) or AI application development (end-user experiences, integrations). This role works independently on moderate features and short projects, collaborates with cross-functional teams, and contributes to secure, scalable, and impactful AI solutions. Candidates are expected to demonstrate strong skills in one area, with opportunities to broaden their expertise through collaboration and learning. This role requires independent ownership of end-to-end feature delivery and mentoring of Engineer I-level peers.
Responsibilities:
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 develop 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
- Mentor or review work from Analyst and Engineer I-level team members
Learning & Growth:
- Expand expertise in either AI infrastructure or application development, with opportunities to learn from senior engineers and cross-functional teams
- Share knowledge and support peer learning within the team
Requirements:
Required Qualifications:
- Bachelor's degree 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, GCP)
- Proficiency in at least one modern programming language (Python, Java, TypeScript, etc.)
- Experience with CI/CD pipelines and containerization (Docker, Kubernetes) 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
Mindtris, a minority women-owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top-tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success.
Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer.