Experience: 5-8 years (with 2+ years in AI/ML or GenAI projects)
Primary Skill: Amazon Bedrock, AWS
Responsibilities
Design, develop, and deploy GenAI solutions using Amazon Bedrock and AWS services
Implement RAG (Retrieval-Augmented Generation) pipelines leveraging PostgreSQL-based data stores
Build and optimize prompting, orchestration, and inference workflows for LLM-based applications
Develop backend services and APIs using AWS serverless architectures
Integrate GenAI services with structured and unstructured data sources
Optimize solutions for performance, scalability, security, and cost
Support testing, monitoring, and production rollout of GenAI applications
Required Qualifications
7+ years of software development experience with cloud-native applications
3+ years of hands-on experience building GenAI or LLM-based solutions
Strong experience with Amazon Bedrock and foundation models
Solid expertise in AWS services (Lambda, API Gateway, S3, Step Functions, CloudWatch)
Strong experience with PostgreSQL, including complex queries and data modeling
Proficiency in Python and API-based development
Preferred Qualifications
Experience implementing RAG architectures and vector search (e.g., pgvector)
Familiarity with prompt engineering frameworks and LLM orchestration tools
Experience with CI/CD, DevOps, and MLOps practices
Knowledge of security, privacy, and responsible AI principles
AWS certification or advanced degree in Computer Science or related field
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