Analyst, AI Engineer

Women in Aviation International

Analyst, AI Engineer supporting WAI's internal AI capabilities. The role focuses on data access, document ingestion, and AI assistant functionalities.

Posted 7/3/2026contractRemote • 🇮🇳 IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI integration, data engineering, and document processing, with a strong focus on building AI-ready data access and retrieval systems. Proficient in Python, SQL, and large language models to enhance business intelligence and workflow performance.

Highest-signal resume keywords

Python ProgrammingSQL Database ManagementData Pipeline DevelopmentLarge Language Models ExperienceAI Workflow Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData EngineeringAutomationAnalytics EngineeringDocument ProcessingAPIsData WorkflowsRAG ImplementationVector SearchChatbot Development

Soft Skills

CollaborationTroubleshootingDocumentationRemote CommunicationFeedback Analysis

Tools & Technologies

ERP SystemsData Mapping ToolsTesting FrameworksAI PlatformsData Ingestion Pipelines

Industry Keywords

Automotive AftermarketManufacturingDistributionProduct DataFitment Data

Tech Stack

Tools & technologies

ERPPythonSQL

About the role

Key responsibilities & impact

Build and support AI-ready access to WAI catalog, customer, order, product, sales-channel, and related business data as directed by AI platform leadership.
Assist with Infor integration and other trusted data connections so AI outputs are grounded in approved business data sources.
Implement semantic, keyword, and structured search across catalog, OE number, fitment, cross-reference, technical specification, and product data.
Parse and structure PDFs, Excel files, fitment guides, manufacturer specifications, RMA forms, customer questions, chatbot conversations, and other technical or business documents.
Build and support retrieval-augmented generation (RAG), embeddings, vector search, document ingestion pipelines, prompt workflows, and AI assistant capabilities for internal users and distributor support.
Capture and organize real user questions, failed searches, corrections, successful answers, and feedback to support evaluation data, retrieval improvement, and future model tuning.
Assist with evaluating, deploying, and testing approved hosted or open-source models such as Llama, Mistral, Qwen, or similar models under technical direction.
Support AI workflows related to Amazon Business trends, listing performance, returns, customer demand, and other approved business intelligence use cases as assigned.
Document technical logic, data mappings, prompts, retrieval sources, test cases, known issues, and support procedures.
Test AI outputs for source grounding, accuracy, consistency, reliability, and alignment with acceptance criteria.
Monitor assigned workflows, troubleshoot defects, analyze failures, and recommend improvements to retrieval quality, data quality, model behavior, and workflow performance.
Collaborate with offshore and onsite team members, IT, data owners, and business-facing AI resources to deliver approved work within WAI standards.
Undertakes additional responsibilities and tasks as directed by management.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Artificial Intelligence, or a related technical field preferred; equivalent experience may be considered based on local market practice.
2+ years of experience in software development, data engineering, AI/ML, automation, analytics engineering, business systems, workflow tools, or related technical work.
Hands-on experience with Python, SQL, APIs, data pipelines, scripts, automation, or data workflows.
Hands-on exposure to or experience with large language models, prompts, RAG, embeddings, vector search, chatbots, AI agents, or document processing required; deeper or production-level experience across these areas strongly preferred.
Experience working with ERP, catalog, product, customer, order, inventory, or technical-document data preferred.
Experience supporting offshore delivery, remote collaboration, documentation, testing, or production support preferred.
Experience with automotive aftermarket, manufacturing, distribution, product data, fitment data, or similar technical domains is a plus.

Benefits

Comp & perks

Limited travel expected, estimated at 0-10% based on business needs, project rollout requirements, training, workshops, or meetings.