Remote AI Deployment Engineer — Enterprise Contracts

Elios, Inc.; San Francisco (CA); Remote; USD 140,000 - 210,000; Full time

Job summary

Elios, Inc. is seeking a Forward Deployed Engineer to take AI from prototype to production for enterprise clients. You'll scope problems with clients, write code, connect to their systems, and stay on the project until it works in production.

The role blends backend engineering and consulting across industries like energy, healthcare, and finance, with responsibilities from data integration to deployment on cloud platforms.

Qualifications

• 4+ years writing production software, with Python as a primary language.
• Shipped at least one LLM-powered system to real users (agents, RAG, tool use, or structured extraction).
• Comfortable with cloud deployment, APIs, and the unglamorous parts like auth, logging, and CI/CD.
• Working knowledge of how to evaluate LLM output, beyond eyeballing it.

Responsibilities

• Sit in discovery with client stakeholders and turn loose business goals into scoped, buildable work.
• Build LLM applications, agents, and retrieval systems in Python that hold up under real latency, cost, and security limits.
• Connect models to the systems the client already runs: APIs, data warehouses, internal tools, and MCP servers where they fit.
• Write evals before calling anything done, and use them to decide what to fix next.
• Deploy on AWS, Azure, or GCP and own what happens after launch.
• Some of the work is integration and cleanup. Better to say that now than surprise you later.
• Explain trade-offs to technical and non-technical audiences, in writing and in the room.
• Bring what you learn in the field back to the team so the next engagement starts further ahead.

Skills

Python

LLM systems

Cloud deployment

Evaluation of LLM outputs

Client-facing communication

CI/CD

Tools

APIs

Data warehouses

CI/CD tools

MCP

Agent frameworks

Job description

Elios, Inc. is seeking a Forward Deployed Engineer to take AI from prototype to production for enterprise clients. You'll scope problems with clients, write code, connect to their systems, and stay on the project until it works in production.

The role blends backend engineering and consulting across industries like energy, healthcare, and finance, with responsibilities from data integration to deployment on cloud platforms.