Job Title

About Role We are looking for a highly skilled Generative AI Engineer to join our Professional Services team on a contract basis. This role involves building production-grade AI solutions for global clients, working in a fast-paced and innovation-driven environment. Key Responsibilities Generative AI Development Design and develop production-ready Generative AI applications Build RAG (Retrieval Augmented Generation) pipelines Develop AI agents & multi-agent orchestration systems Implement prompt engineering, fine-tuning, and context management Create chatbots, conversational AI, and document automation solutions AWS Cloud & Serverless Development Develop serverless architectures using AWS Lambda Work with API Gateway, Step Functions, and EventBridge Build REST APIs and real-time AI applications Manage AWS services such as S3, DynamoDB, RDS, SQS, SNS, CloudWatch Implement Infrastructure as Code (Terraform / CDK / CloudFormation) Data Engineering & ML Operations Build data ingestion pipelines (structured & unstructured) Develop ETL / ELT workflows Implement vector embeddings & semantic search systems Ensure data quality, monitoring, and observability Optimize model performance, latency, and cost Client Collaboration Work directly with clients and stakeholders Translate business requirements into scalable technical solutions Participate in Agile ceremonies Document architecture, deployment processes, and best practices Troubleshoot production AI systems Must-Have Skills Amazon Bedrock & Foundation Models (Claude, Llama, etc.) RAG architecture & vector databases LangChain / LlamaIndex / AI agent frameworks Advanced Python (APIs, async programming, testing) AWS Lambda & serverless architecture LLM API integrations REST API development (FastAPI / Flask) Good to Have API Gateway, DynamoDB, Step Functions Docker & containerized AI workloads Pandas, PySpark, AWS Glue CI/CD pipelines CloudWatch monitoring & observability Security best practices (IAM, Secrets Manager) Nice to Have AWS SageMaker OpenSearch (vector / hybrid search) EventBridge WebSocket-based AI streaming AWS CDK Model fine-tuning / PEFT Experience Required 10+ years in software engineering 2+ years of AWS production experience 3+ years in Generative AI Strong experience in Data Engineering (ETL, AWS Glue, Amazon Athena) Proven track record of delivering production AI solutions Strong client-facing and Agile experience Preferred Qualifications AWS Certifications Experience in Healthcare / Finance domains Open-source contributions Experience building multi-tenant SaaS AI platforms Knowledge of AI cost optimization Apply Here:-