AI Platform Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the creation, testing, and support of enterprise AI solutions utilizing RAG, vector search, Azure AI services, and LLM integration.

• Aid in the implementation and testing of RAG pipeline components, which include embedding generation, vector storage, retrieval logic, ranking, context injection, and LLM response generation.

• Support Azure OpenAI integrations, focusing on prompt engineering, grounding, validation, citation-based responses, and traceable outputs.

• Configure, test, and uphold vector search solutions using Azure AI Search or similar technologies.

• Assist with document chunking, segmentation, metadata enrichment, and testing for hybrid, semantic, and keyword search.

• Develop and maintain API integrations and orchestration components that connect data pipelines, vector search, LLM services, reporting platforms, and enterprise applications.

• Implement error handling, logging, monitoring, and reusable service patterns.

• Test and deploy AI applications utilizing Azure DevOps CI/CD pipelines.

• Utilize Azure Monitor and Log Analytics to assess application health.

• Conduct initial troubleshooting of AI pipelines, APIs, retrieval systems, and LLM integrations; escalate more complex issues as necessary.

• Monitor token consumption, API utilization, and response performance.

• Collaborate with teams from IT, data, reporting, compliance, business, AI, backend, cloud, and platform engineering.

• Test and document changes, maintain technical documentation, and adhere to production support, security, compliance, auditability, and governance procedures.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience through technical training, projects, or relevant work experience.

• 2–4 years of pertinent experience in software development, AI, platform development, or related technical roles; internships, academic projects, and personal projects are applicable.

• Foundational skills in Python programming.

• Basic understanding of backend development, REST APIs, and application integration.

• Familiarity with .NET, Node.js, or similar technologies.

• Basic understanding of LLM concepts and prompt development.

• Exposure to Azure OpenAI or comparable platforms.

• Basic awareness of RAG, embeddings, and vector search concepts.

• Basic understanding of cloud application concepts and Microsoft Azure.

• Basic awareness of token consumption, usage-based LLM pricing, and monitoring performance and costs.

• Foundational understanding of secure development and access control concepts.

• Ability to adhere to training and documented procedures for managing PHI, PII, audit logs, and traceability in a regulated enterprise environment.

🏝️ Benefits

• Opportunities for skill development, leadership training, and philanthropic engagement.

• Medical, dental, supplemental health, life, and vision coverage for you and your dependents with no waiting period.

• Life and disability insurance.

• 401(k) plan with company matching.

• Tuition assistance.

• Paid parental leave.

• Backup family care services.

• Flexible time off policy.

• Flexible dress code and work location policies.

• Employee Resource Groups.

• Opportunities for social responsibility and community volunteering.

• Competitive compensation package.

• Potential eligibility for additional benefits, bonuses, and commissions.