What are the responsibilities and job description for the AI/ML Engineer position at ConnectedX, Inc.?
Job Title: AI/ML Engineer
Location: Plano, TX Onsite
Duration: 12 Months
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 Clientapproved 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 Client governance, datahandling, and compliance requirements.
Skills Required:
- 5 years of experience building AI/ML or NLPbased solutions, including prompt engineering, LLMbased workflows, or model finetuning.
- 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.
Educational Background:
Bachelor s Degree (or higher) in Computer Science, Management Information Systems or related discipline, or equivalent professional work experience