
201 - 500 employees
Founded 1997
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
ITX Corp. is a full-service custom software partner that has been a transformative player in software since 1997. They specialize in software product strategy, architecture and security, user research and design, and data science and artificial intelligence. ITX collaborates closely with clients to solve major software product challenges and employs AI and machine learning to enhance decision-making and business success. Their work spans various industries, including financial services, civic and social services, insurance services, and eCommerce, ensuring functionality, compliance, and security. ITX is committed to accessibility, demonstrating technological and organizational maturity through SOC 2 Type II compliance and adherence to web accessibility guidelines.
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201 - 500 employees
Founded 1997
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
ITX Corp. is a full-service custom software partner that has been a transformative player in software since 1997. They specialize in software product strategy, architecture and security, user research and design, and data science and artificial intelligence. ITX collaborates closely with clients to solve major software product challenges and employs AI and machine learning to enhance decision-making and business success. Their work spans various industries, including financial services, civic and social services, insurance services, and eCommerce, ensuring functionality, compliance, and security. ITX is committed to accessibility, demonstrating technological and organizational maturity through SOC 2 Type II compliance and adherence to web accessibility guidelines.
• Design and implement autonomous AI agents and multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen, or comparable frameworks • Build and optimize RAG pipelines integrating vector databases with LLMs • Develop tool-use and function-calling architectures integrating APIs, internal systems, and external services • Maintain and extend ingestion, transformation, and vector-store update data pipelines • Collaborate with data scientists and ML engineers to operationalize and fine-tune LLMs • Integrate Azure AI and GCP Vertex AI into agentic workflows • Implement evaluation, observability, and guardrails for LLM-based systems • Design authentication and authorization handling for multi-agent systems • Design conversational and agentic experiences including chatbots, copilots, and task-automation agents • Evaluate emerging agentic frameworks, orchestration tools, and LLM providers for performance and cost efficiency
• Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or comparable agent orchestration frameworks • Strong understanding of vector databases, embedding models, and retrieval strategies • Experience with LLM APIs such as OpenAI, Anthropic, or open-source models • Experience with Azure AI and GCP Vertex AI • Strong proficiency in Python • Experience designing APIs and integrating agents with existing systems and data sources • Fundamentals or demonstrable proficiency with data pipelines and cloud data platforms such as Databricks, Snowflake, or BigQuery is desirable but not required • Experience with identity and access management in distributed or service-oriented systems • Knowledge of token-based authentication and authorization propagation across service boundaries • Understanding of LLM evaluation, guardrails, and responsible AI practices • Analytical mindset and excellent communication skills • Ability to explain technical concepts to engineers and business stakeholders • Experience working in modern Agile/Kanban environments • English bilingual proficiency • Microsoft Certified: Azure AI Engineer Associate certification is preferred • LangChain/LlamaIndex certifications are preferred • Demonstrable proficiency in agentic development through production-grade code, shipped agentic systems, or an equivalent hands-on portfolio
• Market-based pay benchmarked to the candidate's/team member's location • Regular compensation reviews • Automatic annual pay adjustment when the benchmark exceeds compensation • Certifications are a plus and may support compensation considerations
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