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Avēsis

AI Platform Engineer

Avēsis

. Assist with building, testing, and supporting enterprise AI solutions using RAG, vector search, Azure AI services, and LLM integration .

Posted 11/12/2026full-timeRemote • United StatesJuniorMid-Level💰 $61,360 - $120,050 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates foundational skills in Python programming, backend development, and API integration, with a focus on building and supporting enterprise AI solutions using Azure AI services and LLM integration. Proficient in implementing RAG pipeline components and ensuring compliance with security and governance procedures in a regulated environment.

Highest-signal resume keywords
Python ProgrammingAzure AI ServicesAPI IntegrationRAG Pipeline ImplementationAzure OpenAI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend DevelopmentREST APIsLLM ConceptsVector SearchEmbedding GenerationError HandlingMonitoring PerformanceToken Consumption TrackingApplication IntegrationCloud Application Concepts
Tools & Technologies
Azure DevOpsAzure MonitorLog AnalyticsNode.js.NET
Industry Keywords
ComplianceGovernancePHIPIIAudit LogsTraceabilitySemantic SearchHybrid SearchPerformance MonitoringUsage-Based Pricing

Tech Stack

Tools & technologies
AzureCloudJavaScriptNode.jsPython.NET

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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