7 months ago
Responsibilities
- Design, develop, and deploy agentic workflows for multi-step reasoning, tool use, and production decision-making systems.
- Productionize AI models from research prototypes into scalable, deployable real-world systems.
- Develop and optimize adaptive ML systems using LoRA, PEFT, PyTorch, TensorFlow, and Hugging Face Transformers.
- Apply quantization, pruning, distillation, and hardware-specific acceleration techniques.
- Build and maintain RAG pipelines with vector database integrations for contextual retrieval.
- Develop multimodal AI systems across computer vision, audio, and natural language domains.
- Optimize model execution across distributed and resource-constrained environments with variable connectivity.
Requirements
- Active US security clearance is required.
- At least 4 years of experience in applied AI, ML engineering, or production AI systems is required.
- Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers is required.
- Experience deploying AI models across cloud, edge, and mobile hardware is required.
- Expertise in model compression and optimization, including quantization, pruning, and distillation, is required.
- Experience building RAG pipelines and integrating vector databases such as Quadrant, ChromaDB, FAISS, Milvus, or Pinecone is required.
- Familiarity with multimodal models and synthetic data generation methods is required.
- Strong algorithmic and problem-solving skills in distributed or constrained compute environments are required.
- Preferred qualifications include experience with edge AI, federated learning, or offline inference systems; public-sector AI governance and compliance; large-scale distributed or microservice architectures; GPU computing, CUDA, and performance profiling; and strong communication and technical documentation skills.
Benefits
- Comprehensive health, dental, and vision benefits, including a high-deductible HSA option with company contribution.
- 401(k) match for US-based employees.
- Flexible paid time off policy.
- Parental leave for eligible employees.
- Continuing education support.
- Basic company-paid life insurance and supplemental life insurance.
- Company-paid short- and long-term disability coverage.
- Free parking for in-office employees.
- Benefits may vary for employees hired outside the United States based on local law, country-specific requirements, and hiring entity.
Tech Stack
Categories
About webAI
webAI builds an end-to-end platform for training, deploying, and operating private AI models on infrastructure customers control, including edge devices. It sells enterprise software and developer SDKs/APIs used by public-sector, defense, aviation, and manufacturing teams to run specialized models with data sovereignty. Founded in 2020 and headquartered in Austin, Texas, the privately held company focuses on distributed AI/LLM infrastructure across local and cloud environments.