4 llmops engineer jobs at 4 companies in Bastrop, TX

2mo
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Roamly Labs - AI Engineer
Austin, Texas, United States
OnsiteFull Time
The Ride Platform
The Ride Platform: Marketplace and insurance infrastructure for the mobility economy.
Experience building production-grade AI systems, multi-agent/agentic architectures, real-time telemetry pipelines, MLOps/LLMOps, cloud infrastructure (AWS/GCP), and strong engineering skills in LLMs, computer vision, and reinforcement learning.
LangGraph, CrewAI, AutoGen, AWS, GCP, LLMs, MLOps, LLMOps, vector databases, Full Self-Driving (FSD)
3d
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Forward Deployed AI Engineer
Austin, Texas, United States
OnsiteFull Time
Cloudera
Cloudera: Provides hybrid data platforms for enterprise analytics and AI.
5+ YOE5+ years building and deploying production systems with 2–3 years in generative AI/agentic applications, strong software/data engineering and applied AI skills, experience with foundation models, RAG, MLOps/LLMOps, and customer engagement.
AWS, Azure, GCP, Cloudera, Spark, Iceberg, NiFi, NVIDIA GPUs
1w
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Lead AI Security Automation Engineer
Quincy or Toronto or Boston or Princeton or Clifton or Austin
$120k-$218k/yr HybridFull Time
State Street
State StreetNYSE: STT: Provides investment servicing and management to institutional investors.
10+ YOELead and deliver enterprise-scale AI, security automation, and data platforms; 10+ years software engineering, 4+ years AI/ML/Generative AI experience, strong cloud, CI/CD, RAG and security background; Master's preferred.
Jenkins, Harness, Spinnaker, Argo CD, Python, JavaScript/TypeScript, Rust, Go (Golang), Bash, PowerShell, LangGraph, Semantic Kernel, CrewAI, AutoGen, LangChain, Databricks, Snowflake, Spark, Kafka, Delta Lake, Iceberg, Airflow, vector databases, MLOps, LLMOps
1mo
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Consultant, Data Science
Round Rock, Texas, United States
$196k-$254k/yr OnsiteFull Time
Dell Technologies
Dell TechnologiesNYSE: DELL: Provides information technology hardware, software, and services.
6+ YOESenior data scientist with 6+ years (Master's) or 10+ years experience; expertise in ML, generative AI, LLMs, agentic frameworks; strong engineering skills (Python, Git, Docker) and MLOps/LLMOps experience.
LangChain, MCP, A2A, LangGraph, Python, Git, Docker, RLHF, RAG, MLOps, LLMOps