Gen AI Specialist

• Design, develop, and deploy Generative AI applications using Amazon Bedrock and foundation models.
• Build and optimize RAG-based solutions leveraging vector search and enterprise knowledge repositories.
• Develop AI-powered assistants, copilots, and conversational applications.
• Create document ingestion, embedding, and semantic search pipelines for unstructured data.
• Design and develop scalable APIs and microservices to support AI applications.
• Evaluate, test, and optimize LLM performance for accuracy, relevance, latency, and cost efficiency.
• Collaborate with Product Managers, Architects, Designers, and business stakeholders to translate requirements into AI-driven solutions.
• Follow security, governance, and Responsible AI best practices throughout the development lifecycle.
• Stay current with emerging trends and advancements in Generative AI technologies

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 4–6 years of experience in software engineering, cloud application development, or AI/ML engineering.
• Hands-on experience developing and deploying production-grade Generative AI solutions.

Technical Skills

AWS Services (Must Have)

• Amazon Bedrock (Foundation Models, Agents, Knowledge Bases)
• Amazon OpenSearch Service (Vector Search)
• Amazon S3
• AWS Lambda
• Amazon API Gateway

Generative AI & Machine Learning (Must Have)

• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Embeddings and Semantic Search
• AI Model Evaluation and Optimization

Programming & Frameworks (Must Have)

• Python
• REST APIs and Microservices
• LangChain or LlamaIndex

DevOps & Engineering Practices (Must Have)

• Git-based Source Control
• CI/CD F

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