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1 day ago
We are seeking experienced professionals to build, optimize, and deploy cutting-edge Generative AI solutions.
About the RoleThis is a high-impact position for engineers passionate about Large Language Models (LLMs), Retrieval Augmentation Generation (RAG) pipelines, Artificial Intelligence (AI) agents, and prompt engineering — with the opportunity to work across advanced AI use cases.
Key Responsibilities:- Design & develop Generative AI architectures, algorithms & frameworks.
- Build, integrate & fine-tune LLMs & AI models into production systems.
- Implement RAG pipelines & manage vector databases.
- Apply prompt engineering & tokenization for optimized outputs.
- Collaborate with data scientists, Product Managers & cross-functional teams.
- Test, deploy & monitor models for performance & scalability.
- Stay up to date with Generative AI advancements, tools & frameworks.
- Generative AI – 1.6+ years
- Agentic AI – 6+ months
- Python – 3–5 years (with prompt engineering experience)
- LLMs – OpenAI, Claude, Gemini, etc.
- Vector databases & RAG pipelines
- LangChain libraries & AI agents
- Cloud – Azure preferred (AWS/GCP also acceptable)
- Experience with MLOps & DevOps practices
- Cloud deployment expertise (Azure, GCP, AWS)
- Familiarity with scalable AI production environments
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