AI Platform Engineer

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The Junior AI Platform Engineer assists with building, testing, and supporting enterprise AI solutions that use Retrieval-Augmented Generation (RAG), vector search, Azure AI services, and large language model (LLM) integration. Working under the guidance of experienced engineers, this role contributes to chatbots, virtual assistants, self-service analytics, intelligent automation, and natural language interfaces across enterprise applications.

The position supports assigned components of AI pipelines, including embedding generation, vector indexing, retrieval workflows, LLM orchestration, API integration, monitoring, and usage tracking. The role follows established architecture, security, compliance, and deployment standards within a regulated enterprise environment and escalates design decisions and complex issues to experienced team members.

The Junior AI Platform Engineer contributes to the development and support of AI solutions that integrate with enterprise data pipelines, APIs, reporting platforms, collaboration tools, and business applications. This role completes defined development tasks, tests and documents changes, and assists with troubleshooting under technical guidance and review. The position collaborates with IT, data, reporting, compliance, and business teams while developing practical skills in reliable, secure, and cost-effective AI delivery aligned with organizational governance standards.

Functional:

• Assist with implementing and testing assigned RAG pipeline components, including embedding generation, vector storage, retrieval logic, ranking, context injection, and LLM response generation, using established designs.

• Support Azure OpenAI integrations and apply established practices for prompt engineering, grounding, validation, citation-based responses, and traceable outputs under technical guidance.

• Assist with configuring, testing, and maintaining vector search solutions using Azure AI Search or equivalent technologies.

• Support document chunking, segmentation, metadata enrichment, and testing of hybrid, semantic, and keyword search. Document retrieval results and assist experienced engineers with relevance, accuracy, and latency improvements.

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Core:

• Develop and maintain assigned API integrations and orchestration components that connect data pipelines, vector search, LLM services, reporting platforms, and enterprise applications, following established patterns and code review practices.

• Implement defined error handling, logging, monitoring, and reusable service patterns; maintain technical documentation and follow established production support procedures.

• Assist with testing and deploying AI applications through established Azure DevOps CI/CD pipelines under review, and use Azure Monitor, Log Analytics, and related tools to check application health.

• Perform initial troubleshooting of AI pipelines, APIs, retrieval systems, and LLM integrations using documented procedures; capture findings and escalate complex issues to experienced engineers.

• Track token consumption, API utilization, and response performance; assist with testing approved prompt, caching, and request-throttling changes and report opportunities to improve cost efficiency.

Behavioral:

• Demonstrates foundational problem-solving skills, clear communication, collaboration, and a willingness to learn and apply technical feedback.

• Works collaboratively with AI, backend, cloud, platform engineering, reporting, compliance, and business teams while building knowledge of their systems and processes.

• Communicates assigned work, test results, and questions clearly to technical and non-technical stakeholders and follows responsible AI, auditability, and enterprise governance practices.

• Demonstrates attention to reliability, traceability, security, and compliance; follows support procedures, seeks guidance when needed, and contributes to continuous improvement.

Minimum Qualifications:

• 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 toward this experience.

• Foundational Python programming skills demonstrated through coursework, projects, or work experience.

• 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, with exposure to Azure OpenAI or similar platforms through learning or projects.

• Basic awareness of RAG, embeddings, and vector search concepts, with willingness to learn Azure AI Search or equivalent technologies.

• Basic understanding of cloud application concepts and Microsoft Azure, with the ability to contribute to defined API and application tasks under guidance.

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

• Foundational understanding of secure development and access control concepts, with willingness to learn enterprise RBAC, identity management, Entra ID, and secure access patterns.

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

Preferred Qualifications:

• Hands-on exposure to LLM-based applications, vector search, or RAG through internships, coursework, personal projects, or work experience.

• Exposure to Azure Data Factory or similar pipeline orchestration tools.

• Exposure to Power BI, enterprise reporting platforms, or self-service analytics.

• Exposure to Copilot Studio, chatbot frameworks, or conversational AI platforms.

• Introductory familiarity with Infrastructure as Code tools such as Bicep or Terraform.

• Awareness of responsible AI principles or governance frameworks such as NIST AI RMF.

• Exposure to prompt testing, response validation, citation-based grounding, or AI quality assurance through learning or projects.

• Exposure to healthcare, finance, insurance, or another regulated industry through coursework, internships, or work experience.

At Avēsis, we strive to design equitable, and competitive compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current pay ranges for new hires in each zone are:

Zone A: $61,360.00-$102,260.00 Zone B: $66,860.00-$111,430.00 Zone C: $72,030.00-$120,050.00 FLSA Status: Salary/Exempt

This role may also be eligible for benefits, bonuses, and commission.

Please visit Avesis Pay Zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

We Offer

• Meaningful and challenging work opportunities to accelerate innovation in a secure and compliant way.
• Competitive compensation package.
• Excellent medical, dental, supplemental health, life and vision coverage for you and your dependents with no wait period.
• Life and disability insurance.
• A great 401(k) with company match.
• Tuition assistance, paid parental leave and backup family care.
• Dynamic, modern work environments that promote collaboration and creativity to develop and empower talent.
• Flexible time off, dress code, and work location policies to balance your work and life in the ways that suit you best.
• Employee Resource Groups that advocate for inclusion and diversity in all that we do.
• Social responsibility in all aspects of our work. We volunteer within our local communities, create educational alliances with colleges, drive a variety of initiatives in sustainability.

How To Stay Safe

Avēsis is aware of fraudulent activity by individuals falsely representing themselves as Avēsis recruiters. In some instances, these individuals may even contact applicants with a job offer letter, ask applicants to make purchases (i.e., a laptop or gift cards) from a designated vendor, have applicants fill out W-2 forms, or ask that applicants ship or send packages of goods to the company.

Avēsis would never make such requests to applicants at any time throughout our job application process. We also would never ask applicants for personal information, such as passport numbers, bank account numbers, or social security numbers, during our process. Our recruitment process takes place by phone and via trusted business communication platform (i.e., Zoom, Webex, Microsoft Teams, etc.). Any emails from Avēsis recruiters will come from a verified email address ending in @ Avēsiscom.

We urge all applicants to exercise caution. If something feels off about your interactions, we encourage you to suspend or cease communications. If you are unsure of the legitimacy of a communication you have received, please reach out to [email protected].

To learn more about protecting yourself from fraudulent activity, please refer to this article link (https://consumer.ftc.gov/articles/how-avoid-scam). If you believe you were a victim of fraudulent activity, please contact your local authorities or file a complaint (Link: https://reportfraud.ftc.gov/#/) with the Federal Trade Commission. Avēsis is not responsible for any claims, losses, damages, or expenses resulting from unaffiliated individuals of the company or their fraudulent activity.

Equal Employment Opportunity

At Avēsis, We See You. We celebrate differences and are building a culture of inclusivity and diversity. We are proud to be an Equal Employment Opportunity employer that considers all qualified applicants and does not discriminate against any person based on ancestry, age, citizenship, color, creed, disability, familial status, gender, gender expression, gender identity, marital status, military or veteran status, national origin, race, religion, sexual orientation, or any other characteristic. At Avēsis, we believe that, to operate at the peak of excellence, our workforce needs to represent a rich mixture of diverse people, all focused on providing a world-class experience for our clients. We focus on recruiting, training and retaining those individuals that share similar goals. Come Dare to be Different at Avēsis, where We See You!