
Creative AI Visionary
1 week ago
We are seeking experienced professionals to design and develop cutting-edge Generative AI architectures, algorithms, and frameworks.
The ideal candidate will be responsible for building, integrating, and fine-tuning Large Language Models (LLMs) and AI models into production systems. They will also implement ReAgent pipelines, manage vector databases, and apply prompt engineering and tokenization for optimized outputs.
Collaboration with cross-functional teams is essential in this role. The selected individual will test, deploy, and monitor models for performance and scalability while staying up to date with the latest advancements in Generative AI, tools, and frameworks.
Mandatory skills include experience with Generative AI (1.6+ years), Agentic AI (6+ months), Python (3–5 years with prompt engineering experience), LLMs (OpenAI, Claude, Gemini, etc.), vector databases and ReAgent pipelines, LangChain libraries, and AI agents. Cloud expertise (Azure preferred but AWS/GCP acceptable) is also required.
Good to have skills include experience with MLOps and DevOps practices, cloud deployment expertise, familiarity with scalable AI production environments, and a willingness to design the next wave of AI solutions.
We offer a dynamic work environment and opportunities for growth and development. If you are passionate about AI and want to make a difference, please consider applying.
Responsibilities:
- Design and develop Generative AI architectures, algorithms, and frameworks.
- Build, integrate, and fine-tune LLMs and AI models into production systems.
- Implement ReAgent pipelines, manage vector databases, and apply prompt engineering and tokenization.
- Collaborate with cross-functional teams to test, deploy, and monitor models.
- Stay up to date with the latest advancements in Generative AI, tools, and frameworks.
Requirements:
- Experience with Generative AI (1.6+ years)
- Agentic AI (6+ months)
- Python (3–5 years with prompt engineering experience)
- LLMs (OpenAI, Claude, Gemini, etc.)
- Vector databases and ReAgent pipelines
- LangChain libraries and AI agents
- Cloud expertise (Azure preferred but AWS/GCP acceptable)
Preferred Skills:
- MLOps and DevOps practices
- Cloud deployment expertise
- Familiarity with scalable AI production environments
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