AI Platform Engineer II

Mindtris · Memphis, TN · Yesterday

On-siteEngineeringFull-time

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

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
Support the implementation of security, compliance, and governance controls for AI systems
Aid with logging, monitoring, and reporting for auditability and usage insights
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
Collaborate 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

Requirements

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

Qualifications

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

Additional Qualifications (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

Skills

Skills:

Strong problem-solving and collaboration skills
Excellent written and verbal communication skills
Proficiency in at least one modern programming language (Python, Java, TypeScript, etc.)
Experience with CI/CD pipelines and containerization (Docker, Kubernetes)
Familiarity with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) or cloud-native development (AWS, Azure, GCP)
Experience building backend applications and APIs (REST/GraphQL/gRPC) or developing user-facing AI applications
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

Benefits

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.