ITX Corp.

• Design and implement scalable data pipelines • Develop and maintain ETL/ELT workflows • Collaborate with data scientists to operationalize machine learning models • Implement data quality and governance practices • Evaluate emerging tools for performance and cost efficiency

• Design and implement scalable, secure data pipelines across multi-cloud ecosystems (Azure, AWS, GCP). • Develop and maintain ETL/ELT workflows using modern orchestration tools like Apache Airflow, Spark, and cloud-native services. • Build and optimize data processing frameworks with technologies such as Apache Beam, DLT, DBT, and Snowflake. • Collaborate with data scientists and AI engineers to operationalize machine learning models and integrate AI services (Azure AI, AWS SageMaker, GCP Vertex AI, Databricks MLflow). • Implement data quality, governance, and observability practices to ensure accuracy, consistency, and compliance. • Design and maintain data models and analytical layers that power self-service analytics and BI solutions. • Continuously evaluate emerging tools and frameworks to deliver best-in-class performance and cost efficiency.

• Equip team members to help clients' visions become reality • Enhance productivity on organizational and human levels • Enable teams to demonstrate unique value propositions • Coordinate improvements in team performance • Conduct regular one-on-one meetings • Participate in onboarding and off-boarding processes • Prepare organization for future workforce needs • Manage resource planning and allocation • Ensure every team member has an enjoyable work experience • Act as primary contact for addressing internal needs

• Design, build, and maintain scalable backend systems using Java and Spring Boot • Develop and manage event-driven architectures using Kafka • Design and implement RESTful APIs with a focus on performance, scalability, and reliability • Take ownership of backend architecture and contribute to technical decision-making • Actively contribute to frontend development using React as part of day-to-day work • Work closely with Product, QA, and other engineers to deliver end-to-end features • Participate in the full software development lifecycle, from design to production • Maintain high standards for code quality, testing, and performance • Continuously improve system design and team practices

• Lead architectural discovery and assessment efforts for new and existing clients • Translate business goals, constraints, and requirements into clear solution blueprints • Partner directly with clients to guide technical decisions, establish feasibility, and build trust • Collaborate with Product Innovation Leads to align solutions with product vision and business priorities • Provide technical leadership and strategic oversight to delivery teams alongside Tech Leads • Ensure solutions are scalable, maintainable, and aligned with best engineering practices • Identify risks, dependencies, and opportunities for improvement across systems and teams • Contribute to defining user stories, technical priorities, and solution direction • Advocate for simplicity, elegance, and long-term sustainability in system design

• Design and maintain ETL pipelines that process and classify unstructured data for Retrieval-Augmented Generation (RAG) systems • Support the development of agent-based architectures using reasoning and acting patterns such as ReAct • Build and maintain agent workflows using node-based orchestration frameworks such as LangGraph, including hierarchical and state-machine-based execution • Design and implement agent memory systems, including short-term event memory and long-term memory strategies such as summarization, semantic memory, episodic memory, and user preference storage • Develop system prompts and intent-handling prompts that support reliable agent interactions • Create evaluation tests, datasets, and performance benchmarks to measure and improve LLM agent behavior, including ReAct-based agents • Build tools that allow LLM agents to interact with external systems and services • Apply best practices around guardrails, prompt security, input sanitization, and safe handling of user-generated content • Collaborate closely with engineers across the team and provide guidance to less experienced developers when needed.

• Develop and maintain end-to-end web applications using Java for the backend and modern frameworks such as React for the frontend. • Build highly responsive user interfaces that integrate seamlessly with backend systems. • Implement and maintain Kafka for building scalable and decoupled event-driven systems. • Design and manage RESTful APIs, ensuring smooth interaction between frontend applications and third-party services. • Collaborate with Product Managers, QA engineers, and other team members to deliver high-quality software solutions. • Contribute to the entire software development lifecycle, from concept and design to testing, deployment, and maintenance. • Participate in code reviews and provide constructive feedback to peers. • Ensure code quality and application performance through effective unit testing and performance optimization.

• Design and implement conversational experiences on Dialogflow CX • Own Dialogflow CX build-outs: intents, entities, parameters, pages/flows • Implement secure fulfillment with Cloud Functions/Cloud Run • Collaborate cross‑functionally with UX writers/content designers • Engineer for reliability and scale: timeouts, retries, idempotency • Participate in discovery: clarify requirements, estimate work