Senior AI Engineer

5 Star Recruitment; Dallas (TX); Sur place; USD 130 000 - 160 000; Plein temps

Résumé du poste

A leading recruitment firm is seeking an experienced Senior AI Engineer to architect and implement advanced AI and machine learning systems. The ideal candidate will lead the design of LLM-based applications, develop end-to-end ML pipelines, and collaborate with cross-functional teams. A minimum of 8 years in software engineering with deep expertise in Python and AI/ML libraries is essential. This position requires a strong technical leadership background and the ability to mentor engineers on best practices.

Qualifications

• 8+ years of software engineering experience focused on AI/ML.
• 3+ years in technical leadership roles.
• Deep expertise in Python and modern AI/ML libraries.
• Experience with large language models and prompt engineering.
• Knowledge of AI system design and MLOps practices.

Responsabilités

• Architect and implement advanced AI and machine learning systems.
• Lead design of LLM-based applications using frameworks.
• Develop end-to-end ML pipelines.
• Collaborate with cross-functional teams to define intelligent experiences.
• Mentor engineers on AI architecture and best practices.

Connaissances

Architecting advanced AI systems

Machine learning

Python

JavaScript

Deep learning libraries

AWS

MLOps

LangChain

Description du poste

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