5-9 years of experience in Python development and cloud engineering.
Hands-on experience with:
AWS Bedrock (LLMs, embeddings, APIs)
Terraform (Infrastructure as Code)
Strong knowledge of Generative AI concepts (LLMs, NLP, prompt engineering).
Experience building scalable APIs using FastAPI / Flask.
Experience with AWS services:
Lambda, S3, EC2, API Gateway, IAM, CloudWatch
Strong understanding of microservices architecture.
Experience implementing RAG pipelines and vector search.
Proficiency in REST APIs, JSON, and system integration.

Experience with LangChain, LlamaIndex, or similar frameworks.
Exposure to Kubernetes & Docker.
Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).
Familiarity with MLOps tools (MLflow, SageMaker Pipelines).
Knowledge of multi-cloud environments (Azure OpenAI / GCP Vertex AI).
Experience with data engineering pipelines.
Understanding of Responsible AI / AI governance.

* Primary skills:Domain->Banking->Compliance & Regulations->Consumer Banking,Technology->Geographical Information System->Spatial Databases->SQL Server,Technology->OpenSystem->Python - OpenSystem