ML Engineer

Performacentric • Dallas, TX

16h • Remote

About The Position

Performacentric helps small and mid-market organizations improve profitability, efficiency, visibility, employee performance, customer satisfaction, and supplier performance through custom AI agents, intelligent automation, and connected business systems. We are building a next-generation AI platform powered by open-source large language models, agentic workflows, and business process automation. We are seeking a Machine Learning Engineer to help design, deploy, and optimize AI solutions built on Llama models and modern Python-based application architectures.

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.
• Experience troubleshooting and optimizing production applications.
• Understanding of machine learning fundamentals.
• Experience evaluating AI model performance.
• Familiarity with embeddings, vector search, and RAG architectures.
• Knowledge of model inference optimization techniques.
• Experience working with structured and unstructured datasets.

Nice To Haves

• 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.
• Knowledge graph implementations.
• Business intelligence and analytics platforms.

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.
• Optimize inference performance, latency, and infrastructure utilization.
• Monitor model quality and continuously improve response accuracy.
• Build scalable AI applications using Python and FastAPI.
• Design and maintain RESTful APIs for AI services.
• Develop backend services supporting AI agents and copilots.
• Integrate AI solutions with CRM, ERP, communication, and business systems.
• Implement authentication, authorization, and API security controls.
• Write clean, maintainable, and well-documented code.
• Build and maintain vector database integrations.
• Develop data ingestion and preprocessing pipelines.
• Support deployment of AI workloads in cloud and self-hosted environments.
• Collaborate on model serving, monitoring, logging, and observability.
• Assist with infrastructure automation and CI/CD processes.
• Work closely with product, engineering, and leadership teams.
• Participate in architecture discussions and technical planning.
• Contribute to AI solution design for client implementations.
• Mentor junior developers and share best practices.

Benefits

• Remote-first work environment.
• Competitive compensation based on experience.
• Professional growth opportunities in one of the fastest-growing areas of software development.
• Ability to help shape the future of AI-powered business transformation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed