Posted:1 day ago|
Platform:
Hybrid
Full Time
We are seeking Backend Engineers to play a pivotal role in building our Data & AI services Agentic Workflow Service and Retrieval-Augmented Generation (RAG) Service. In this hybrid role, you'll leverage your expertise in both backend development and AI knowledge and skills to build robust, scalable Data & AI services using AWS Kubernetes, Amazon Bedrock models.
Key Requirements:Backend development experience with strong Java programming skills along with basic Python programming knowledge
Design and develop microservices with Java spring boot that efficiently integrate AI capabilities
Experience with microservices architecture, API design, and asynchronous programming
Experience in working with Databases (SQL, NoSQL) and data structures
Solid understanding of AWS services, particularly Bedrock, Lambda, and container services
Experience with containerization technologies, Kubernetes and AWS serverless
Understanding of RAG systems with advanced retrieval mechanisms and vector database integration
Understanding of agentic workflows using technologies such as AWS Strands Framework, LangChain / LangGraph
Create scalable data processing pipelines for training data and document ingestion
Write clean, maintainable, and well-tested code with comprehensive documentation
Collaborate with multiple multi-functional team members including DevOps, product, and frontend engineers
Stay ahead of with the latest advancements in Data, LLMs and AI agent architectures
9+ years of total software engineering experience
Understanding building RAG systems and working with vector databases
ML/AI engineering, particularly with LLMs and generative AI applications
Awareness about LangChain/LangGraph or similar LLM orchestration frameworks
Understanding of ML model deployment, serving, and monitoring in production environments
Knowledge of timely engineering
Excellent problem-solving abilities and system design skills
Strong communication skills and ability to explain complex technical concepts
Ability to learn new technologies quickly
Must have AWS certifications - Associate Architect / Developer / Data Engineer / AI Track
Must have familiarity with streaming architectures and real-time data processing
Must have developed, delivered and operated microservices on AWS
Understanding of ML/AI ethics and responsible AI development
Knowledge of semantic search and embedding models
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