Senior AWS Bedrock&SageMaker Developer

Responsibilities

• Develop, integrate, and optimize Generative AI applications using AWS Bedrock, including prompt engineering, RAG implementation, and AI agent workflows.
• Create and optimize prompts for LLMs.
• Work with Amazon Bedrock APIs for model inference.
• Create backend services using Python / Node.js.
• Enable real-time and streaming AI responses.
• Build AI solutions using Bedrock Knowledge Bases.
• Integrate with data sources (S3, databases, enterprise systems).
• Implement vector search and embeddings.
• Design and build AI agents using Bedrock Agents.
• Implement multi-step workflows and task automation.
• Integrate external APIs/tools into AI workflows.
• Work with core AWS services: IAM (security & access control), S3 (data storage), Lambda (serverless compute), API Gateway (service exposure).
• Deploy scalable and secure AI solutions.
• Implement guardrails and content filtering.
• Ensure data privacy, compliance, and safe AI usage.
• Optimize token usage and model selection.
• Monitor and control Bedrock usage costs.
• Convert business requirements into AI-driven solutions.
• Manage and utilize SageMaker Feature Store for reusable feature engineering.
• Maintain and retrain models for continuous performance improvement.
• Track experiments, metrics, and ensure model reproducibility.
• Optimize infrastructure, performance, and cost of ML workloads.
• Collaborate with cross-functional teams to design and deliver ML solutions.

Qualifications

• Strong coding in Python.
• Good knowledge on Py libraries (Pandas, Numpy, Scikit-learn (ML), Tensorflow/PyTorch).
• Understanding of ML life cycle.
• Exploratory Data Analysis (EDA).
• Handling large dataset in Amazon S3.
• Model Training and Optimization.
• Model deployment.
• MLOps & Pipeline Automation.

Skills

• Generative AI & LLM Fundamentals.
• Prompt Engineering.
• Bedrock API and SKD usage.
• RAG.
• AI Agents and workflow design.
• Programming skill (Python, APIs, Microservice).
• AWS core knowledge (IAM, S3, Lambda, API Gateway).
• Application integration skills.
• Vector databases.
• CI/CD for AI Apps.

Benefits

• Salary Range: $110,000-$130,000 a year.