AI Platform Engineer II

MANDATORY VENDOR SUBMISSION RULES - READ FIRST


Failure to comply with any rule below will result in immediate candidate disqualification and may impact future access to roles.
These rules are non-negotiable .

1. One Candidate Per Role
• Submit one (1) candidate only - your BEST
• Multiple submissions, alternates, or option lists will be ignored

2. Local Candidate Representation (All Locations)


If you represent a candidate as LOCAL to the job location , you must be 100% certain that the candidate:
• Is physically located in that city/metro at the time of submission


Do not submit a candidate as local if they are:
• Remote
• Traveling
• Temporarily staying
• Planning to relocate
• "Open to relocation"


Candidates who are not physically local must be submitted as non-local or relocation .


Any misrepresentation of a candidate's current physical location results in immediate disqualification and a vendor strike.

3. No Information Requests


All necessary role details have already been provided.
Do not request additional information prior to submission.

4. References Required
• Two (2) recent direct manager references
• Public LinkedIn profiles required
• References must be verified prior to submission
• References will be contacted at offer stage only


Candidates not meeting these requirements must not be submitted .

5. Work Authorization Restrictions
• NO OPT EADs
• NO STEM visas


Candidates with OPT, STEM OPT, or related student-based work authorization must not be submitted .

6. Fraud Prevention - Zero Tolerance


Do not submit candidates with:
• Fake or altered IDs
• Fraudulent or inconsistent work authorization
• Misrepresented resumes, identities, or employment history


All submissions are actively verified .
Suspected fraud is documented and may be reported .

7. Live ID Verification - Mandatory
• Government-issued photo ID shown live on video
• Candidate must physically possess the ID
• No screenshots, photos, or excuses


If a candidate refuses or is unprepared, do not submit them .
Failure results in immediate disqualification and a vendor strike .

8. Vendor Strike Policy
• Strike 1: Candidate disqualified + formal warning
• Strike 2: Suspension from all active roles
• Strike 3: Permanent removal from vendor list

Vendor Certification


By submitting a candidate, you certify that all information is accurate, verified, and fully compliant with the rules above.

Job #5144: NOTE: CANDIDATE MUST BE READY TO WORK ONSITE IN MEMPHIS DAY 1.

Job Title: AI Platform Engineer II


Client: Confidential DIRECT CLIENT (Domain: Fundraising)


Location: Memphis, TN (If no qualified Memphis candidates can be found, we will consider REMOTE)


Duration: 18 Months + Extensions (Long-term contract w/ no end date. Could possibly go perm if candidate desires)


Compensation: $65/HR CTC


Start Date: ASAP


Number of Openings: 1

Job Description:


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.

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

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.

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, GCP).
• 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.

Relevant Skills:

Software/Technology


Years of Experience


Date Last Used (MM/YYYY)


Large Language Models (LLMs) / GenAI Platforms

Backend API Development (REST / GraphQL / gRPC)

AI Platform Engineering OR AI Application Development

Python (or Java / TypeScript)

CI/CD Pipelines & DevOps Practices

Containerization (Docker, Kubernetes)

Cloud Platforms (AWS, Azure, or GCP)

Thankyou!