eClerx
AI Engineer
Austin, Texas, United States · Senior
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DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Austin-Round Rock-San Marcos, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- The AI Engineer will play a key role in driving data-driven decision-making and intelligent automation within our organization.
- AI System Architecture & Implementation:
Responsibilities
- Design and implement autonomous agent architectures, including multi-step reasoning engines, tool-use integration, and structured decision-making frameworks.
- Develop and maintain the infrastructure for Parameter-Efficient Fine-Tuning (PEFT), implementing techniques like LoRA, QLoRA, or Adapter-tuning to minimize computational overhead.
- Build and maintain high-performance vector databases and semantic search indices to enable context-aware AI responses and sub-second data retrieval.
- Develop scalable, automated pipelines for the cleaning, normalization, and feature engineering of high-velocity raw data streams.
- Collaborate with Data Scientists to establish "Ground Truth" datasets and implement automated validation layers to ensure model output reliability and safety.
- Agentic Workflows: Design and implement autonomous agent architectures, including multi-step reasoning engines, tool-use integration, and structured decision-making frameworks.
Requirements
- AI Frameworks: Deep experience with PyTorch, TensorFlow, or JAX, and libraries for model adaptation and inference (e.g., Hugging Face ecosystem).
- Data Infrastructure: Hands-on experience with SQL/NoSQL databases, Vector Databases, and cloud-native AI services (AWS, GCP, or Azure).
Nice to have
- Languages: Expert proficiency in Python
- familiarity with lower-level languages (C++/Rust) or Go for performance-critical components is preferred.
Skills
- Austin Texas.
- Fixed Term Employee (6 months with possible extension, including Benefits).
Compensation
- In the US, the target base salary for this role is $175,000-$180,000.
Benefits
- Lead the end-to-end integration of machine learning models and fine-tuned SLMs into production environments, focusing on model compression, latency reduction, and hardware-specific optimization.
Company info
- We are also committed to protecting and safeguarding your personal data.
This listing is sourced directly from eClerx's careers page and normalized into a canonical job model.