Senior AI Engineer

5 Star Recruitment

  • Dallas, Texas
  • 3 days ago

    Highlights

    Experience with large language models (OpenAI, Anthropic, Cohere, open source LLMs) and prompt engineering. Lead the design and deployment of LLM-based applications using frameworks like LangChain, LlamaIndex, and vector databases.

    Numbers & Facts

    LocationDallas, Texas

    Description

    What Youll Do

    As a Senior AI Engineer at InRhythm, you will:

    • Architect and implement advanced AI and machine learning systems that solve complex business problems
    • Lead the design and deployment of LLM-based applications using frameworks like LangChain, LlamaIndex, and vector databases
    • Develop end-to-end ML pipelines from data acquisition and model training to deployment and monitoring
    • Design and build AI copilots, agents, and generative workflows that integrate seamlessly into modern software ecosystems
    • Apply deep expertise in NLP, computer vision, or predictive modeling to build intelligent, real-time systems
    • Evaluate and fine-tune foundation models for custom enterprise use cases
    • Collaborate with cross-functional product, design, and engineering teams to define intelligent experiences
    • Explore and implement retrieval-augmented generation (RAG), semantic search, and multi-modal reasoning techniques
    • Contribute to internal AI frameworks, toolkits, and accelerators to speed up solution delivery
    • Mentor engineers on AI architecture, model lifecycle best practices, and ethical/secure use of machine learning

    Requirements

    Youll bring:

    • 8+ years of software engineering experience with a strong focus on AI/ML and intelligent systems
    • 3+ years in a technical leadership role, building and deploying machine learning systems in production
    • Deep expertise in Python and modern AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers)
    • Experience with large language models (OpenAI, Anthropic, Cohere, open source LLMs) and prompt engineering
    • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and scalable ML infrastructure
    • Knowledge of AI system design, data engineering for ML, model evaluation, and MLOps practices
    • Experience integrating AI capabilities into full-stack applications and cloud-native environments, specifically within AWS.
    • Strong communication skills and a consulting mindsetable to confidently lead client-facing discussions on AI strategy
    • Passion for experimentation, innovation, and shaping the future of applied AI

    Required Citizenship / Work Permit / Visa Status
    US Citizens/Green card holders

    Must-Haves
    Below are the MUST HAVE's:
    LangChain
    LangGraph
    Python
    JavaScript
    AWS Bedrock
    Orchestration
    PyTorch/TensorFlow/Hugging Face
    MLOps

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