AWS GenAI Engineer

Experience 3.00 + years Salary Confidential (based on experience) Expected Notice Period 15 Days Shift (GMT+05:30) Asia/Kolkata (IST) Opportunity Type Hybrid () Placement Type Full Time Permanent position(Payroll and Compliance to be managed by: AI-first, API-powered Data Platform)

**(*Note: This is a requirement for one of Uplers’ client - AI-first, API-powered Data Platform)

**What do you need for this opportunity?

Must have skills required: AI frameworks, Copilot, AI/ML, GenAI, ML, rag, Sagemaker, Cloud Server (Google / AWS), Github, Python

AI-first, API-powered Data Platform is Looking for:** **AWS GenAI Engineer About The Role We are seeking a skilled and experienced AWS Gen AI Engineer to design and develop generative AI applications leveraging Amazon Bedrock, Bedrock AgentCore, and SageMaker.

The ideal candidate will have hands-on experience building GenAI applications using Bedrock foundation models, RAG pipelines with Bedrock Knowledge Bases, and prompt engineering workflows with Bedrock Guardrails.

Key Responsibilities

• Design and develop generative AI applications using Amazon Bedrock, Bedrock AgentCore, and foundation models.
• Build and optimize RAG pipelines using Bedrock Knowledge Bases with agentic retrieval, smart parsing, and multi-modal content support.
• Develop custom ML models using SageMaker (training, fine-tuning, and deployment via JumpStart and HyperPod).
• Implement prompt engineering, optimization, and fine-tuning workflows leverage Intelligent Prompt Routing for cost optimization.
• Configure and manage Bedrock Guardrails for content safety, PII filtering, and hallucination mitigation with Automated Reasoning checks.
• Design data ingestion pipelines connecting enterprise sources (S3, SharePoint, Confluence, Google Drive, OneDrive, Web Crawler) to Knowledge Bases.
• Conduct model evaluation, benchmarking, and A/B testing across foundation models.
• Integrate GenAI capabilities into production applications using orchestration frameworks (LangChain, LlamaIndex, Strands Agents).
• Provide technical guidance to associates on AI/ML best practices.

Required Qualifications

• Bachelor’’s degree in Computer Science, Data Science, AI/ML, or related field.
• 5+ years of experience in software engineering or ML engineering.
• 3+ years of hands-on experience with AWS AI/ML services.
• Strong proficiency in building GenAI applications using Amazon Bedrock and foundation models.
• Hands-on experience with SageMaker for model training, fine-tuning, and deployment (JumpStart, HyperPod).
• Experience building RAG pipelines with Bedrock Knowledge Bases and vector stores (OpenSearch Serverless, Pinecone, or similar).
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Experience with orchestration frameworks (LangChain, LlamaIndex, CrewAI, or Strands Agents).
• Experience with prompt engineering, optimization, and evaluation techniques.
• Understanding of LLM architectures, tokenization, and inference optimization.
• Experience configuring Bedrock Guardrails for content safety and compliance.
• Knowledge of data engineering for AI/ML (ETL, data preprocessing, feature engineering).
• Strong communication skills and ability to articulate technical decisions.

Nice to Have

• AWS Machine Learning Specialty or AI Practitioner certification.
• Experience with multi-modal AI (vision, audio, text) on Bedrock.
• Familiarity with model monitoring, SageMaker MLOps pipelines, and AI observability.
• Experience with AI tools in development lifecycles (GitHub CoPilot, Cursor, Amazon Q Developer).
• Knowledge of responsible AI frameworks, Automated Reasoning, and bias mitigation.

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well)….