Remote AI Deployment Engineer (Contract)

Elios, Inc.; Dallas (TX); Remote; USD 140,000 - 180,000; Full time

Job summary

Elios, Inc. is seeking Forward Deployed Engineers to take AI from prototype to production for enterprise clients. You will scope problems with the client, write the code, connect it to systems, and own the delivery until it runs in production.

Projects span energy, healthcare, finance, and industrial operations; some weeks are backend work, others are consulting sessions with operators. If you’ve built an agent or RAG system, this is where you finish it.

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 applications

Cloud deployment

Tools

AWS

GCP

Azure

Job description

Elios, Inc. is seeking Forward Deployed Engineers to take AI from prototype to production for enterprise clients. You will scope problems with the client, write the code, connect it to systems, and own the delivery until it runs in production.

Projects span energy, healthcare, finance, and industrial operations; some weeks are backend work, others are consulting sessions with operators. If you’ve built an agent or RAG system, this is where you finish it.