AI Tool Developer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, ConnectedX, Inc., is seeking the following. Apply via Dice today! Who we are: ConnectedX is focused on Digital Transformation and Product Engineering Services, enabling clients achieve their business, operating and technology needs for the digital age. Our unique industry-based, consultative approach helps clients implement digital transformation initiatives. Headquartered in Dallas, Texas, U.S. ConnectedX is a preferred partner for leading Fortune 1000 enterprises and is consistently admired by the clients and employees across the globe. What we are looking for: Job Title: AI Tool Developer Experience: 10+ Years Location: Plano, Texas Employment Type: Contract The AI Tool Development Support will primarily be responsible for collaborating and providing technical support. Responsibilities: • Develop an endtoend AI model and processing pipeline that transforms naturallanguage or structured test specifications into executable JSON scripts used by internal test automation tool. • Build promptdriven, ruleaugmented, or finetuned models using TMNAapproved AI platforms, ensuring compliance with internal AI/ML Review Board standards. Create data ingestion and training datasets using historical test cases, existing automation scripts, and test execution logs. • Design the mapping framework between spec semantics automation actions JSON schema. • Build validation utilities to automatically ensure script correctness, schema compliance, and alignment with automation tool capabilities. • Integrate the AI generation pipeline into the existing test automation toolchain and CIbased workflows. • Collaborate with automation SMEs to refine domainspecific rules, edge cases, and test coverage requirements. • Drive continuous model improvement through error analysis, incremental finetuning, and user feedback loops. • Maintain documentation, versioning, and traceability of AIgenerated scripts. • Ensure responsible AI usage by aligning with TMNA governance, datahandling, and compliance requirements. Skills Required: • 5+ years of experience building AI/ML or NLPbased solutions, including prompt engineering, LLMbased workflows, or model fine • Solid Python or similar development skills (data processing, model building, evaluation pipelines). • Experience working with JSON schema design and automated test frameworks. • Familiarity with ML frameworks such as PyTorch, TensorFlow, HuggingFace or similar libraries. • Experience with building or integrating ML pipelines into productionquality tools (API services, microservices, or batch systems). • Strong understanding of software testing concepts: test cases, assertions, conditions, flows, automation logic. • Ability to collaborate with crossfunctional engineering teams and translate ambiguous test definitions into structured logic. Education • Bachelor s Degree (or higher) in Computer Science, Management Information Systems or related discipline, or equivalent professional work experience • Experience with automated test frameworks used in embedded or multimedia systems. • Experience with model finetuning using enterprise datasets. • Background in building developer tooling, code generation, or compiler/ASTtype transformations. • Familiarity with LEAP/MM automation concepts or previous exposure to internal test automation pipelines. • Experience implementing AI tools in enterprise environments requiring governance and model approval.