Senior AI Engineer
5 Star Recruitment- Location
- Dallas
- Workplace
- —
- Employment
- Full Time
- Salary
- USD 140,000–145,000/yr
Posted 16d ago
Senior AI Engineer - 5 Star Recruitment | Career Page
Senior AI Engineer
Dallas, Texas, United States $ 140,000.00 - 145,000.00 (US Dollar)
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Job Openings Senior AI Engineer
About the job Senior AI Engineer
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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Share
- Line
- X (Formerly Twitter)
Skills
- Python
- PyTorch
- TensorFlow
- Hugging Face Transformers
- LangChain
- LlamaIndex
- Pinecone
- Weaviate
- FAISS
- OpenAI
- Anthropic
- Cohere
- AWS
- AWS Bedrock
- LangGraph
- JavaScript
- MLOps
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