Senior ML Engineer: Edge, RAG & Production AI

webAI; Austin (TX); Presencial; USD 180.000 - 240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and incentives

Comprehensive health, dental, and VISN

401k match

Flexible PTO

Parental leave

Continuing education support

Life insurance

Disability insurance

Free parking

Descripción de la vacante

webAI is seeking a Senior Machine Learning Engineer to advance production-ready AI for public sector deployments. You will transform prototypes into robust systems that operate from government clouds to edge devices in restricted environments.

Responsibilities include building agentic workflows, deploying RAG pipelines, and optimizing models for distributed hardware with PyTorch, TensorFlow, and Hugging Face. Security clearance is required.

Formación

• Active US Security clearance.
• 4+ years of experience in applied AI, ML engineering, or production AI systems.
• Proficiency in PyTorch, TensorFlow, or Hugging Face Transformers.
• Experience deploying AI models across cloud, edge, and mobile hardware environments.
• Expertise in model compression and optimization (quantization, pruning, distillation).
• Experience building RAG pipelines and integrating vector databases.

Responsabilidades

• Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems.
• Productionize AI models from research prototypes into scalable, deployable systems.
• Engineer adaptive ML systems with on-device inference strategies across hardware.
• Implement model optimization techniques including quantization, pruning, and distillation.
• Build and maintain Retrieval Augmented Generation (RAG) pipelines with vector DBs.
• Work with multi-modal AI systems across CV, audio, and NLP domains.
• Optimize model execution in distributed, resource-constrained environments.

Conocimientos

PyTorch

TensorFlow

Hugging Face Transformers

RAG pipelines

Vector databases

Edge inference

Distributed systems

Herramientas

Quadrant

ChromaDB

FAISS

Milvus

Pinecone

Descripción del empleo

webAI is seeking a Senior Machine Learning Engineer to advance production-ready AI for public sector deployments. You will transform prototypes into robust systems that operate from government clouds to edge devices in restricted environments.

Responsibilities include building agentic workflows, deploying RAG pipelines, and optimizing models for distributed hardware with PyTorch, TensorFlow, and Hugging Face. Security clearance is required.