Generative AI Pipeline Lead

Technical Skills & Stack Requirements :

• Programming Expertise : Advanced proficiency in .Net and Python for backend architecture, API development, and service orchestration.
• Generative AI Frameworks : Deep hands-on experience with FastAPI , LangChain , LangGraph , AWS Bedrock , and LLM orchestration pipelines .
• Cloud Platforms : Expert-level experience with AWS or Azure cloud architecture , particularly Bedrock, Lambda, ECS / EKS, Step Functions, S3, and SageMaker and Azure equivalents.
• AI Pipeline Design : Proven ability to design RAG architectures , embedding pipelines , and vector search integrations (e.G., Pinecone, FAISS, ChromaDB).
• Prompt Engineering : Understanding of advanced prompt chaining, retrieval strategies, and dynamic context management.
• Enterprise Architecture : Strong foundation in microservices , RESTful APIs , event-driven design , and asynchronous message queues (Kafka, SNS / SQS).
• DevOps & CI / CD : Familiarity with containerization (Docker, Kubernetes), IaC (Terraform / CloudFormation), and automated deployment pipelines.
• Security & Compliance : Knowledge of IAM, data encryption, secure API gateways, and AI model governance standards.