5â€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.
Additional Responsibilities:
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.
