GenAI Engineer: LLM Apps, GraphRAG & MLOps

Elios, Inc.

Dallas (TX)

Hybrid

USD 120,000 - 150,000

Full time

3 days ago
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Job summary

Elios, Inc. is hiring an AI Engineer for a hands-on, onsite contract in Dallas to build production GenAI applications and autonomous agents connected to enterprise data. You will design, build, and deploy LLM-powered services with Python, FastAPI, and Docker across AWS, Azure, and GCP.

You will establish evaluation workflows and CI/CD, focusing on latency, cost, and accuracy. Ideal candidates have 5+ years of AI/ML software experience, shipped production LLMs or agents, and strong skills in

Qualifications

  • At least 5 years of AI/ML-focused software engineering experience.
  • Shipped production LLM or agentic AI systems beyond demos.
  • Strong experience with embeddings, knowledge graphs, ontology extraction.
  • Hands-on with Python, FastAPI, Docker, and cloud deployments (AWS/Azure/GCP).
  • Experience with CI/CD, automated testing, and monitoring for latency and cost.

Responsibilities

  • Build production GenAI applications and autonomous AI agents connected to enterprise data.
  • Develop scalable Python services and REST APIs using FastAPI.
  • Deploy workloads with Docker across AWS, Azure, and GCP.
  • Set up LLM evaluation workflows using LangSmith and Ragas benchmarks.
  • Lead MLOps practices, including CI/CD, version management, and monitoring.

Skills

GenAI architectures
Embeddings
Knowledge graphs
Ontology extraction
Python
FastAPI
Docker
AWS
Azure
GCP
CI/CD
REST APIs
MLOps
On-site engineering
Llama/agents

Education

5+ years AI/ML software engineering

Tools

LangSmith
Ragas

Job description

Elios, Inc. is hiring an AI Engineer for a hands-on, onsite contract in Dallas to build production GenAI applications and autonomous agents connected to enterprise data. You will design, build, and deploy LLM-powered services with Python, FastAPI, and Docker across AWS, Azure, and GCP.

You will establish evaluation workflows and CI/CD, focusing on latency, cost, and accuracy. Ideal candidates have 5+ years of AI/ML software experience, shipped production LLMs or agents, and strong skills in

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