Functional Testing

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