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Senior AI Engineer

Senior AI Engineer

5 Star RecruitmentDallas, TX, US
3 days ago
Job type
  • Full-time
Job description

Job Description

Job 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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    Senior Ai Engineer • Dallas, TX, US