Terrell Hills • 50 milesRemote · Hybrid · Onsite · Field · All Environments
Terrell Hills • 50 milesRemote · Hybrid · Onsite · Field · All Environments
Terrell Hills • 50 milesRemote · Hybrid · Onsite · Field · All Environments
Terrell Hills • 50 milesRemote · Hybrid · Onsite · Field · All Environments
8 ai ml engineer jobs at 6 companies in Terrell Hills, TX
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AI Engineer
San Antonio, Texas, United States
OnsiteFull Time
3+ YOEBachelor's in a related field, 3+ years developing/deploying AI or ML solutions, hands-on Python experience, LLMs/agentic AI, RAG/vector DBs, APIs, AWS experience, security and Responsible AI knowledge.
Python, LangChain, LangGraph, Strands, AWS Bedrock AgentCore, AWS Bedrock, AWS, Model Context Protocol (MCP), C#
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AI Engineer
San Antonio, Texas, United States
OnsiteFull Time
3+ YOEBachelor's in CS/AI/Data Science or related, 3+ years developing and deploying AI/ML/generative AI solutions, Python, AWS experience, agentic AI and LLMs familiarity, RAG/vector DB knowledge, API development, security and Responsible AI experience.
Python, AWS, AWS Bedrock, Bedrock AgentCore, LangChain, LangGraph, Strands, Model Context Protocol (MCP), C#
3w
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Forward Deployed Engineer IV - US
San Antonio or United States
$132k-$194k/yr HybridFull Time
6+ YOEBachelor's in CS/engineering or equivalent, Palantir certified, 6+ years engineering/data/AI experience with 4+ years customer-facing, deep full-stack and ML/AI production experience, strong communication skills.
Python, Node.js, Go, React, Vue, Docker, Kubernetes, CI/CD, GPU, Pinecone, Weaviate, AstraDB, LlamaIndex, Haystack, LangChain, LangGraph, CrewAI, Palantir Foundry, AIP, Uniphore BAIC, OpenStack, VMware, SQL, NoSQL, NVIDIA H100, B200, InfiniBand
3w
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Sr Forward Deployed Engineer
San Antonio or United States
$166k-$243k/yr HybridFull Time
10+ YOEPalantir certification, bachelor’s degree or equivalent experience, 10+ years in software/data/AI engineering with 4+ years in customer-facing roles; strong full-stack, ML/LLM, and DevOps skills.
Palantir Foundry, Pinecone, Weaviate, AstraDB, LlamaIndex, Haystack, LangChain, LangGraph, CrewAI, Python, Node.js, Go, React, Vue, Docker, Kubernetes, CI/CD, OpenStack, VMware, NVIDIA H100, NVIDIA B200, InfiniBand, SQL, NoSQL
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Artificial Intelligence Engineer
San Antonio, Texas, United States
$78k-$176k/yr OnsiteFull Time
2+ YOEBachelor's degree in computer science, science, or mathematics; 2+ years in ML, data science, data engineering, or software development; Secret clearance; programming and AI integration experience; travel up to 25%.
JavaScript, TypeScript, Python, HTML, CSS, AWS, Microsoft Azure, Google Cloud Platform (GCP), Databricks, Palantir Foundry, Bedrock, LLM, LangChain, LangGraph, Agile
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Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior (Manayunk, PA, US, 19127)
Manayunk or Charlotte or San Antonio or Jacksonville or Alpharetta
$66k-$134k/yr HybridFull Time
3+ YOE3+ years Python and production ML deployment; hands-on LLM experience (GPT-4, Claude, Llama); agentic frameworks (LangChain, AutoGen, CrewAI); vector DBs (Pinecone, Weaviate, Chroma); cloud ML platforms and MLOps practices.
LangChain, AutoGen, CrewAI, Pinecone, Weaviate, Chroma, AWS SageMaker, Azure OpenAI Service, Google Vertex AI, Python, GPT-4, Claude, Llama, Kafka, Flink, LoRA, QLoRA, PEFT, Snowflake, Databricks, AWS, Azure, GANs, Transformers
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Senior AWS Bedrock&SageMaker Developer
San Antonio, Texas, United States
$110k-$130k/yr OnsiteFull Time
8+ YOE8+ years experience building Generative AI solutions with AWS Bedrock and SageMaker, strong Python and ML library proficiency, AWS core services experience, prompt engineering, RAG, vector search, and MLOps skills.
AWS Bedrock, Bedrock API, SageMaker, SageMaker Studio, Python, Node.js, IAM, S3, Lambda, API Gateway, EC2, CloudWatch, Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch
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Nontenure Faculty Pool - Electrical Engineering
San Marcos, Texas, United States
OnsiteMultiple Commitments Available
Master's degree in electrical engineering or related engineering field, strong academic background in specified engineering areas, and excellent written and oral communication skills.
Artificial Intelligence (AI), Machine Learning (ML)