Senior ML Engineer: Production‑Ready AI (Edge & Cloud)

webAI; Washington (District of Columbia); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Wellness stipend

Education support

Parental leave

Free parking

Job summary

webAI is seeking a Senior Machine Learning Engineer to support Public Sector initiatives, building production-ready AI systems for secure and distributed environments. You will transform prototype models into scalable systems operating across hardware from government cloud to edge devices in restricted environments.

Responsibilities include deploying multi-step reasoning workflows, optimizing models with quantization and distillation, and building RAG pipelines with vector databases for

Qualifications

• 4+ years of experience in applied AI/ML engineering or production AI systems.
• Proficiency with PyTorch, TensorFlow, or Hugging Face Transformers.

Responsibilities

• Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning and tool use across production systems.
• Productionize AI models from research prototypes into scalable, deployable systems for real-world applications.
• Engineer adaptive ML systems with on-device inference, LoRA/PEFT, and hardware-aware optimization.

Skills

PyTorch

TensorFlow

Hugging Face Transformers

RAG pipelines

Vector databases

Edge/Distributed AI

Tools

Quadrant

ChromaDB

FAISS

Milvus

Pinecone

Job description

webAI is seeking a Senior Machine Learning Engineer to support Public Sector initiatives, building production-ready AI systems for secure and distributed environments. You will transform prototype models into scalable systems operating across hardware from government cloud to edge devices in restricted environments.

Responsibilities include deploying multi-step reasoning workflows, optimizing models with quantization and distillation, and building RAG pipelines with vector databases for