remote

Generative AI Engineer

ClientReach AI is seeking a Generative AI Engineer to develop and optimize large language models (LLMs), RAG pipelines, and AI-driven automation for business solutions. This role involves collaborating with product teams and data scientists to design, build, and deploy AI models that enhance decision-making and automate workflows.

About the role

About the Job

ClientReach AI is seeking a Generative AI Engineer to drive innovation in AI-powered business solutions. This role focuses on developing and optimizing large language models (LLMs), retrieval-augmented generation (RAG) pipelines, and AI-driven automation to help businesses integrate AI seamlessly.

You’ll collaborate with product teams, data scientists, and engineers to design, build, and deploy AI models that enhance decision-making, automate workflows, and personalize customer experiences. If you're passionate about cutting-edge AI and want to shape the future of AI-driven business transformation, we want to hear from you.

Responsibilities

Develop & fine-tune LLMs for real-world applications, including customer engagement, automation, and predictive analytics.
Optimize RAG pipelines and retrieval-based AI models for business insights.
Collaborate with engineers & data scientists to integrate AI models into production systems.
Improve AI performance by experimenting with advanced prompt engineering, model distillation, and efficient inference techniques.
Work with cloud-based AI infrastructure, MLOps, and scalable AI deployment strategies.
Stay ahead of AI trends and implement state-of-the-art techniques in generative AI and machine learning.

Experience & Skills

3+ years of experience in AI/ML engineering, with expertise in LLMs and generative AI.
Strong proficiency in Python, PyTorch, TensorFlow, and LLM-specific frameworks like LangChain, and LlamaIndex.
Experience working with vector databases, RAG techniques, and fine-tuning open-source models.
Deep understanding of transformer architectures, model optimization, and AI-driven automation.
Experience deploying AI models in cloud environments (AWS, Azure, GCP).
Familiarity with MLOps, prompt engineering, and scalable AI workflows.

Compensation & Benefits

Competitive salary up to $150,000 + Bonus
Fully remote position (US-based)
Work on cutting-edge AI projects with a high-impact team

About the role

About the Job

Responsibilities

Develop & fine-tune LLMs for real-world applications, including customer engagement, automation, and predictive analytics.
Optimize RAG pipelines and retrieval-based AI models for business insights.
Collaborate with engineers & data scientists to integrate AI models into production systems.
Improve AI performance by experimenting with advanced prompt engineering, model distillation, and efficient inference techniques.
Work with cloud-based AI infrastructure, MLOps, and scalable AI deployment strategies.
Stay ahead of AI trends and implement state-of-the-art techniques in generative AI and machine learning.

Experience & Skills

3+ years of experience in AI/ML engineering, with expertise in LLMs and generative AI.
Strong proficiency in Python, PyTorch, TensorFlow, and LLM-specific frameworks like LangChain, and LlamaIndex.
Experience working with vector databases, RAG techniques, and fine-tuning open-source models.
Deep understanding of transformer architectures, model optimization, and AI-driven automation.
Experience deploying AI models in cloud environments (AWS, Azure, GCP).
Familiarity with MLOps, prompt engineering, and scalable AI workflows.

Compensation & Benefits

Competitive salary up to $150,000 + Bonus
Fully remote position (US-based)
Work on cutting-edge AI projects with a high-impact team