AI Platform Engineer
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Job Description
AI platform engineer building RAG, vector search, and Azure LLM integrations. Supporting secure, compliant AI applications for a supplemental benefits provider.
Responsibilities:
- Assist with building, testing, and supporting enterprise AI solutions using RAG, vector search, Azure AI services, and LLM integration
- Assist with implementing and testing RAG pipeline components, including embedding generation, vector storage, retrieval logic, ranking, context injection, and LLM response generation
- Support Azure OpenAI integrations, prompt engineering, grounding, validation, citation-based responses, and traceable outputs
- Configure, test, and maintain vector search solutions using Azure AI Search or equivalent technologies
- Support document chunking, segmentation, metadata enrichment, and hybrid, semantic, and keyword search testing
- Develop and maintain API integrations and orchestration components connecting 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 through Azure DevOps CI/CD pipelines
- Use Azure Monitor and Log Analytics to check application health
- Perform initial troubleshooting of AI pipelines, APIs, retrieval systems, and LLM integrations; escalate complex issues
- Track token consumption, API utilization, and response performance
- Collaborate with IT, data, reporting, compliance, business, AI, backend, cloud, and platform engineering teams
- Test and document changes, maintain technical documentation, and follow 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
- 2–4 years of relevant experience in software development, AI, platform development, or related technical work; internships, academic projects, and personal projects may count
- Foundational Python programming skills
- Basic understanding of backend development, REST APIs, and application integration
- Exposure to .NET, Node.js, or equivalent technologies
- Foundational understanding of LLM concepts and prompt development
- Exposure to Azure OpenAI or similar 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 cost
- Foundational understanding of secure development and access control concepts
- Ability to follow training and documented procedures for handling PHI, PII, audit logs, and traceability in a regulated enterprise environment
Benefits:
- Skill-building, leadership development and philanthropic opportunities
- Medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period
- Life and disability insurance
- 401(k) with company match
- Tuition assistance
- Paid parental leave
- Backup family care
- Flexible time off
- Flexible dress code and work location policies
- Employee Resource Groups
- Social responsibility and community volunteering opportunities
- Competitive compensation package
- Potential eligibility for benefits, bonuses, and commission
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