AI Platform Engineer

Job not on LinkedIn

🔥 25 minutes ago

🇺🇸 United States – Remote

💵 $61.4k - $120k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🏗️ Platform Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 22 days.

Apply Now

Find Similar Remote Jobs

Avēsis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1978

🛡️ Insurance

⚕️ Healthcare Insurance

🧘 Wellness

Insurance • Healthcare Insurance • Wellness

Avēsis is a company dedicated to providing comprehensive specialty benefits focused on improving access, equity, and health outcomes. Specializing in dental and vision plans, Avēsis offers flexible, affordable, and outcome-focused oral health benefits as well as vision plans that connect eye health to overall well-being. With over 40 years of experience, Avēsis is committed to personalized care and building community health networks to service government partners, commercial providers, employers, and brokers. Avēsis operates as a wholly owned subsidiary of Guardian, and leverages tailored network and product solutions to deliver accessible quality care to members, while also administering Medicaid, Medicare, and other essential benefits programs.

📋 Description

• 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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume