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About the Role
The AI Engineer will drive data-driven decision-making and intelligent automation by architecting, optimizing, and deploying Agentic AI solutions and Large Language Models (LLMs/SLMs). This role focuses on building robust pipelines, optimizing model performance for hardware constraints, and developing agent orchestration frameworks to solve complex business automation challenges.
Responsibilities
- 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.
- 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.
- Design and implement monitoring solutions to track model drift, inference performance, and resource utilization in production.
- Work closely with Data Science, Data Engineering, and DevOps teams to ensure seamless transition from model prototype to hardened production binary.
- Provide technical guidance and code reviews for junior engineers, championing best practices in software engineering and AI deployment.
- Translate complex technical constraints (e.g., memory limits, inference speed) into clear trade-offs for client stakeholders and project leadership.
Requirements
- Minimum of 5+ years of experience in Software Engineering or Machine Learning Engineering, with a proven track record of deploying AI models in production.
- Expert proficiency in Python.
- Familiarity with lower-level languages (C++/Rust) or Go for performance-critical components is preferred.
- Deep experience with PyTorch, TensorFlow, or JAX, and libraries for model adaptation and inference (e.g., Hugging Face ecosystem).
- Hands-on experience with SQL/NoSQL databases, Vector Databases, and cloud-native AI services (AWS, GCP, or Azure).
- Demonstrated mastery of version control (Git), CI/CD pipelines, containerization (Docker/Kubernetes), and API design (REST/gRPC).
- Proven ability to optimize models for restricted resource environments (memory, CPU/GPU limits) without compromising core performance.
- Deep experience with PEFT libraries (e.g., Hugging Face PEFT) and fine-tuning frameworks.
Skills
- Python
- C++
- Rust
- Go
- PyTorch
- TensorFlow
- JAX
- Hugging Face ecosystem
- SQL
- NoSQL
- Vector Databases
- AWS
- GCP
- Azure
- Git
- CI/CD
- Docker
- Kubernetes
- REST
- gRPC
- Parameter-Efficient Fine-Tuning (PEFT)
- LoRA
- QLoRA
- Adapter-tuning
- Retrieval Augmented Generation (RAG)
- Data Engineering
- Pipeline Development
- System Monitoring
- Technical Leadership
- Client-facing communication
- Systems thinking
- Process discipline
Location
- Austin, Texas
Work Type
- Fixed Term Employee
- 6 months with possible extension
Experience Level
- 5+ years of experience in Software Engineering or Machine Learning Engineering
Salary/Compensations
- $175,000-$180,000
Benefits
- Benefits included for fixed-term employee
About the Company
- eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results.
- The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world’s leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies.
- Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India.
- The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Egypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.
- For more information, visit www.eclerx.com.
- You can also find us on LinkedIn, Indeed, and Glassdoor.
Equal Opportunity
- eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
- We are also committed to protecting and safeguarding your personal data. Please find our policy here.