- Agentic AI Development
- Design and implement Agentic AI architectures using orchestration tools like LangChain, CrewAI, Agno.
- Build secure, scalable multi‑agent systems for enterprise workflows.
- Integrate LLMs and external APIs for dynamic reasoning and task execution.
- Exposure to vector databases (Pinecone, Weaviate, Azure AI Search, Neo4j) and retrieval‑augmented generation (RAG).
- Machine Learning & Data Handling
- Develop ML models for text analytics (NLP, embeddings, transformers) and tabular data (classification, regression, clustering).
- Optimize algorithms for performance and accuracy using Python and popular ML libraries (TensorFlow, PyTorch, Scikit‑learn).
- Cloud & Deployment
- Deploy AI/ML solutions on AWS, Azure, or GCP with best practices for scalability and security.
- Implement CI/CD pipelines for automated testing, deployment, and monitoring of AI systems.
- MLOps / LLMOps
- Establish model lifecycle management, including versioning, monitoring, and retraining.
- Implement LLMOps workflows for prompt management, evaluation, and fine‑tuning of large language models.
- Security & Compliance
- Design secure agentic systems with proper authentication, authorization, and data privacy controls.
- Ensure compliance with enterprise security standards
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AI / ML Engineer - Dallas - Highbrow LLC
Description
AI / ML Engineer
Location: Dallas, TX
Description
We are seeking an experienced AI/ML Engineer with strong expertise in Agentic AI systems and orchestration frameworks such as LangChain, CrewAI, Agno, combined with hands‑on experience in Machine Learning using Python for both textual and tabular data. The ideal candidate will have a solid background in cloud platforms, CI/CD pipelines, and secure agentic system design, along with practical knowledge of MLOps/LLMOps best practices. Experience with Telecom billing systems is a plus.
Qualifications
We are seeking an experienced AI/ML Engineer with strong expertise in Agentic AI systems and orchestration frameworks such as LangChain, CrewAI, Agno, combined with hands‑on experience in Machine Learning using Python for both textual and tabular data. The ideal candidate will have a solid background in cloud platforms, CI/CD pipelines, and secure agentic system design, along with practical knowledge of MLOps/LLMOps best practices. Experience with Telecom billing systems is a plus.
Key Responsibilities
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Overnight - Engineer II
Only for registered members Dallas, TX
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Engineer, Firmware Engineering
Only for registered members Dallas, TX
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Engineer
Only for registered members Dallas, TX
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Engineer
Only for registered members Elm Street Dallas, Texas, United States
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Engineer - Structural Engineering
Only for registered members Dallas
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Engineer
Full time Only for registered members Dallas
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IT Engineer
Only for registered members Dallas, TX
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Engineer, Firmware Engineering
Only for registered members Dallas
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Engineer
Only for registered members Dallas
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Engineer
Only for registered members Dallas
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Engineer -
Only for registered members Dallas
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Engineer
Only for registered members Dallas
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Software Engineer, Ai Engine
Only for registered members Dallas
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IT Engineer
Only for registered members Dallas
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Engineer
Only for registered members Dallas
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Staff Engineer – Reliability Engineering
Only for registered members Dallas, TX
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Associate Engineer/Engineer, IT Infrastructure
Only for registered members Dallas, TX
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Sr. Engineer, Database Engineering
Only for registered members Dallas, TX
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Research Engineer, Biomedical Engineering
Only for registered members Dallas
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Research Engineer, Biomedical Engineering
Only for registered members Dallas
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Concrete Engineer, Infrastructure Engineer
Only for registered members Dallas