Senior AI Automation Engineer

Requirements 3+ years of professional experience building integrations, automations, or workflow systems

Strong proficiency with low-code / no-code automation platforms (n8n,AI for business automation- Tray.ai, Zapier,Make | AI Workflow Automation Software & Tools ,or similar)

Solid JavaScript skills -most automation logic happens in JavaScript nodes and custom functions

Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar) and prompt engineering

Experience working with REST APIs, webhooks, and authentication patterns (OAuth, API keys, JWT)

Understanding of data transformation and formats (JSON, XML, CSV)

Ability to read API documentation, debug integration issues, and troubleshoot automation failures

Experience building event-driven workflows and handling asynchronous processes

Strong problem-solving skills and ability to translate business requirements into technical solutions

Self-motivated, disciplined, and comfortable working independently across time zones

Great communication skills - ability to explain technical concepts to non-technical stakeholders

Your English is at least at the Upper-Intermediate level to communicate with our teams

Preferred Skills / Abilities

Experience building AI agents or multi-step LLM workflows (LangChain, CrewAI, AutoGen, or custom implementations)

Python scripting for data processing, API integration, or ETL workflows

Familiarity with workflow orchestration tools or iPaaS platforms (Temporal, Workato, MuleSoft)

Understanding of vector databases and semantic search for RAG implementations

Experience with freight, logistics, or supply chain systems and terminology

Knowledge of SQL and database queries for data analysis

Background in operations, RevOps, data engineering, or technical product roles

Experience measuring and optimizing automation ROI (cost per call, error rates, processing time)

Experience with cloud platforms (AWS, Azure or GCP) and serverless architectures

Understanding of microservices architecture and event-driven systems

Responsibilities

Design and deploy AI-powered automation workflows using low-code platforms and custom JavaScript

Build intelligent systems that leverage large language models (LLMs) for decision-making, data extraction, and process automation

Create and maintain integrations between internal systems and third-party platforms using APIs, webhooks, and event-driven architectures

Develop data pipelines that transform, enrich, and route information across multiple systems and data sources

Implement prompt engineering strategies and design multi-step LLM orchestration workflows

Build and optimize automated workflows that eliminate repetitive manual tasks across operations teams

Monitor automation health, debug failures, and continuously optimize workflows for reliability, performance, and cost-efficiency

Identify new automation opportunities by collaborating directly with operations, product, and engineering teams

Document workflows, create runbooks, and establish best practices for scalable AI automation

Participate in code reviews and contribute to shared automation libraries, frameworks, and templates

Measure and report on automation performance metrics, including accuracy, latency, cost savings, and operational impact

Prototype new AI capabilities and experiment with emerging technologies as part of our Technical Innovation Program

Example Projects & Initiatives To give you a sense of the types of challenges you'll tackle, here are examples of projects our AI Automation Engineers work on :

Intelligent Document Processing :

Build systems that automatically extract structured data from unstructured documents (PDFs, emails, images)

Create validation workflows that use AI to verify data accuracy and flag anomalies for human review

Design document classification systems that route different document types to appropriate processing pipelines

Implement OCR + LLM workflows that handle handwritten or poorly scanned documents

AI-Powered Business Process Automation :

Develop AI agents that conduct multi-step research and qualification processes autonomously

Build conversational systems that handle routine inquiries and escalate complex cases appropriately

Create intelligent routing and matching systems that optimize business outcomes using historical data and ML models

Design automated scheduling and coordination systems that handle complex business logic and constraints

System Integration & Data Orchestration :

Connect internal platforms with external third-party services, handling authentication, rate limiting, and error recovery

Build real-time data synchronization pipelines that keep multiple systems consistent

Create webhook listeners and event processors that trigger automated workflows based on external events

Design data enrichment pipelines that pull information from multiple sources and merge it intelligently

Operational Intelligence & Monitoring :

Build automated alerting and notification systems that detect anomalies and trigger appropriate responses

Create dashboards and reporting workflows that aggregate data from multiple sources

Develop predictive systems that use historical patterns to forecast operational needs

Design automated quality control systems that continuously validate data accuracy across systems

AI Innovation & Experimentation :

Prototype new AI capabilities using the latest LLM models and techniques

Experiment with vector databases, semantic search, and retrieval-augmented generation(RAG)

Build proof-of-concepts that demonstrate the business value of emerging AI technologies

Contribute to our Technical Innovation Program (TIP) with novel automation approaches

Platform & Infrastructure :

Develop reusable automation components, templates, and design patterns

Create internal tooling that makes it easier for other teams to build and deploy automations

Establish monitoring, logging, and observability standards for automation workflows

Build testing frameworks that ensure automation reliability and catch regressions

These projects span multiple teams and business functions - you'll have the opportunity to work on whatever creates the most business value, from carrier operations to customer experience to internal productivity tools.