We are hiring a Gen AI Engineer with strong expertise in Generative AI, Large Language Models, and AI-powered application development. The ideal candidate should have hands-on experience in building scalable Gen AI solutions, RAG pipelines, and cloud-based AI systems.
Key Responsibilities:
Design and develop Generative AI applications and intelligent automation solutions
Build and optimize Retrieval-Augmented Generation (RAG) pipelines
Integrate LLM frameworks and AI APIs into enterprise applications
Work with AWS Bedrock and cloud-based AI services
Develop scalable backend services using Python
Implement MLOps workflows for deployment, monitoring, and model management
Work with Glue and Athena for data processing and analytics integration
Collaborate with product, engineering, and business teams for AI solution delivery
Optimize AI models and workflows for performance and scalability
Required Qualifications:
6–8 years of experience in software engineering or AI/ML development
Strong expertise in Python programming
Hands-on experience with RAG architecture and LLM frameworks
Experience working with AWS Bedrock and cloud AI platforms
Good understanding of APIs and AI model integrations
Experience with MLOps tools and deployment workflows
Familiarity with Glue, Athena, and data processing pipelines
Strong analytical and problem-solving skills
Preferred Skills:
Experience with vector databases and embeddings
Exposure to LangChain, LlamaIndex, or similar frameworks
Knowledge of prompt engineering and AI optimization techniques will be an added advantage
Interested in this role?
Apply now and our recruiters will contact you.
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