Forward-Deployed Senior AI Engineer - Full-Stack LLMs

Orbis Group; Washington; On-site; USD 150,000 - 210,000; Full time

Job summary

Orbis Group is seeking a Forward Deployed Senior Machine Learning / Applied AI Engineer to drive the complete delivery of autonomous, full-stack AI systems across client environments.

You will build ML services with LLMs, embeddings, RAG, and agent orchestration in production, including secure and air-gapped environments, while collaborating closely with clients to plan timelines and deliver innovative solutions.

Qualifications

• Experience delivering autonomous, full-stack ML/AI solutions.
• Proficiency in deploying ML services using LLMs, embeddings, and RAG.
• Familiarity with agent frameworks and SDKs and monitoring tools.

Responsibilities

• Take full responsibility for delivering autonomous, full-stack systems from prototype to production with client collaboration.
• Develop ML services using LLMs, embeddings, RAG, and agent orchestration in production, including secure environments.
• Collaborate with clients to define issues, plan delivery timelines, and deploy AI solutions within constraints.
• Transform patterns into reusable tools to speed up delivery.

Skills

LLM deployment

Agent orchestration

DevSecOps for AI systems

Customer-facing engagements

Python

Tools

Claude Code

Cursor

Copilot

LangGraph

OpenAI Agents SDK

Claude Agent SDK

AutoGen

Job description

Orbis Group is seeking a Forward Deployed Senior Machine Learning / Applied AI Engineer to drive the complete delivery of autonomous, full-stack AI systems across client environments.

You will build ML services with LLMs, embeddings, RAG, and agent orchestration in production, including secure and air-gapped environments, while collaborating closely with clients to plan timelines and deliver innovative solutions.