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.

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

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.