About the Role:
We are seeking a skilled Generative AI Engineer with hands-on experience in designing and deploying Gen AI or AI Agent solutions in production environments. The ideal candidate will have strong Python fundamentals and a solid understanding of AWS or Azure cloud-based AI services.
Key Responsibilities:
- Design develop and deploy Generative AI and Agent-based solutions in production.
- Fine-tune evaluate and integrate LLMs and multi model models for business applications.
- Build and manage AI workflows leveraging AWS or Azure cloud services.
- Collaborate with data ML and product teams to operationalize AI capabilities.
- Optimize performance reliability and scalability of deployed AI systems.
Requirements
Required Skills & Experience:
- Atleast 23 years of experience in AI/ML development with a focus on Generative AI.
- Proven track record of implementing production-grade Gen AI or Agent solutions.
- Strong proficiency in Python and familiarity with orchestration frameworks like LangChain LlamaIndex or similar.
- Experience with vector databases and embedding models.
- Cloud experience with AWS (SageMaker Bedrock) or Azure (OpenAI AI Studio Cognitive Services).
- Understanding of prompt engineering RAG pipelines and evals.
Preferred / Good to Have:
- Exposure to Azure AI Foundry or AWS AgentCore.
- Familiarity with MLOps and CI/CD pipelines for AI.
Benefits
Required Skills:
GenAI LLM RAG Python Agentic AI
Required Education:
BTech MTech MCA
About the Role: We are seeking a skilled Generative AI Engineer with hands-on experience in designing and deploying Gen AI or AI Agent solutions in production environments. The ideal candidate will have strong Python fundamentals and a solid understanding of AWS or Azure cloud-based AI services. Key...
About the Role:
We are seeking a skilled Generative AI Engineer with hands-on experience in designing and deploying Gen AI or AI Agent solutions in production environments. The ideal candidate will have strong Python fundamentals and a solid understanding of AWS or Azure cloud-based AI services.
Key Responsibilities:
- Design develop and deploy Generative AI and Agent-based solutions in production.
- Fine-tune evaluate and integrate LLMs and multi model models for business applications.
- Build and manage AI workflows leveraging AWS or Azure cloud services.
- Collaborate with data ML and product teams to operationalize AI capabilities.
- Optimize performance reliability and scalability of deployed AI systems.
Requirements
Required Skills & Experience:
- Atleast 23 years of experience in AI/ML development with a focus on Generative AI.
- Proven track record of implementing production-grade Gen AI or Agent solutions.
- Strong proficiency in Python and familiarity with orchestration frameworks like LangChain LlamaIndex or similar.
- Experience with vector databases and embedding models.
- Cloud experience with AWS (SageMaker Bedrock) or Azure (OpenAI AI Studio Cognitive Services).
- Understanding of prompt engineering RAG pipelines and evals.
Preferred / Good to Have:
- Exposure to Azure AI Foundry or AWS AgentCore.
- Familiarity with MLOps and CI/CD pipelines for AI.
Benefits
Required Skills:
GenAI LLM RAG Python Agentic AI
Required Education:
BTech MTech MCA
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