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Home / Jobs / ML EngineerML Engineer REMOTE · DALLAS · US
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Full-time
MID
Apply Now About the Role Machine Learning Engineer for Performacentric's Llama AI Platform. Develop and deploy production-grade AI services using Llama 3 8B, Python, and FastAPI. Optimize model performance, build APIs, and integrate business systems. Work in a fast-paced startup environment.
Responsibilities Deploy, configure, and optimize Llama 3 8B models for production use. Develop prompt engineering, retrieval, and agentic workflows. Fine-tune and evaluate LLM performance for business use cases. Implement Retrieval-Augmented Generation (RAG) architectures. Build scalable AI applications using Python and FastAPI. Design and maintain RESTful APIs for AI services. Integrate AI solutions with CRM, ERP, and business systems. Requirements 3+ years of professional software engineering experience. Strong proficiency in Python. Experience building APIs with FastAPI. Experience deploying and working with Llama 3 8B or similar open-source LLMs. Understanding of prompt engineering and LLM optimization techniques. Experience consuming and developing REST APIs. Strong understanding of Git-based development workflows. Familiarity with Linux environments and command-line tools. Report this listing
Understanding of machine learning fundamentals. Nice to Have Fine-tuning open-source LLMs. ML Engineering and MLOps practices. LangChain, LlamaIndex, Haystack, or similar frameworks. PostgreSQL database administration and optimization. Vector databases such as pgvector, Chroma, Pinecone, Weaviate, or Qdrant. Docker and containerized deployments. Kubernetes orchestration. Azure AI infrastructure and GPU environments. CI/CD pipelines and DevOps automation. Multi-agent AI architectures. Tech Stack Python RAG CI/CD FastAPI PostgreSQL Azure Kubernetes Linux Git Docker LangChain LlamaIndex Haystack Pinecone Weaviate LLaMA pgvector Chroma Qdrant
Senior Machine Learning Engineer Motorola Solutions
LOS ANGELES · US
$195K–$225K