Generative AI Engineer

the Saffron Solution; United States; À distance; USD 5 900 - 7 100; Plein temps

Avantages offerts par ce poste

Work from home

Competitive salary

Cutting-edge AI projects

Learning and growth

Collaborative culture

Résumé du poste

The Saffron Solution is seeking a Generative AI Developer to design, build, and deploy AI solutions that solve real-world business problems. You will collaborate with product, engineering, and data teams to deliver AI-driven applications that boost productivity and automate processes.

Responsibilities include developing and fine-tuning LLMs and diffusion models, building AI-powered apps, and integrating models into products using APIs.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.
• Hands-on experience developing and deploying machine learning or generative AI models.
• Strong coding skills in Python and frameworks such as PyTorch or TensorFlow.
• Experience with LLMs (e.g., GPT, LLaMA) and prompt engineering.
• Familiarity with cloud services (AWS, Azure, or GCP) and deployment tools (Docker, Kubernetes).
• Strong problem-solving skills and ability to work collaboratively.

Responsabilités

• Develop and fine-tune generative AI models, including LLMs and diffusion models.
• Build AI-powered applications such as chatbots, copilots, and automation tools.
• Integrate AI models into products and workflows using APIs and pipelines.
• Research and apply the latest generative AI techniques to business use cases.
• Optimize models for accuracy, performance, and scalability.
• Ensure compliance with responsible AI practices, security, and data privacy.

Connaissances

Python

LLM experience

Prompt engineering

Team collaboration

Formation

BSc/MSc in CS/AI/ML

Outils

PyTorch

TensorFlow

Docker

Kubernetes

AWS

Description du poste

We are looking for a Generative AI Developer to join our team. In this role, you will design, build, and deploy generative AI solutions that solve real-world business problems. You will collaborate with product, engineering, and data teams to create AI-driven applications that enhance productivity, automate processes, and deliver value to our clients.

Responsibilities

• Develop and fine-tune generative AI models, including large language models (LLMs) and diffusion models.
• Build AI-powered applications such as chatbots, copilots, and automation tools.
• Integrate AI models into products and workflows using APIs and pipelines.
• Research and apply the latest generative AI techniques to business use cases.
• Optimize models for accuracy, performance, and scalability.
• Ensure compliance with responsible AI practices, security, and data privacy.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.
• Hands-on experience developing and deploying machine learning or generative AI models.
• Strong coding skills in Python and experience with frameworks such as PyTorch or TensorFlow.
• Experience with LLMs (e.g., GPT, LLaMA) and prompt engineering.
• Familiarity with cloud services (AWS, Azure, or GCP) and deployment tools (Docker, Kubernetes).
• Strong problem-solving skills and ability to work collaboratively.

Preferred Qualifications

• Experience with LangChain, Hugging Face, or similar AI libraries.
• Knowledge of vector databases and retrieval-augmented generation (RAG).
• Experience building AI-powered chatbots or assistants.
• Understanding of MLOps and production deployment.

Benefits

• Competitive salary package.
• Opportunity to work on cutting-edge AI projects.
• Learning and career growth opportunities.
• Collaborative and innovation-driven culture.

Job Type: Full-time

Pay: ₹50,000.00 - ₹60,000.00 per month

Benefits

• Work from home

Application Question(s)

• What is your current notice period or availability to join?
• What is your current CTC?
• What is your expected CTC?
• Do you hold any relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Generative AI on AWS, other cloud/AI certifications)?

Experience

• hands-on experience working with AWS services.: 1 year (Required)

Work Location: Remote