Java Fullstack Engineer with AI

• *Senior Software Engineer (AWS & AI) About the Role:

We are seeking a hands-on Senior Software Engineer with deep experience in AWS cloud-native development and emerging AI technologies. This role blends software architecture, full-stack engineering, optimized hands-on development and applied AI with a strong focus on LLM-driven use cases and Proofs of Concept that advance our digital experience capabilities. You will define the technical approach, lead implementation, implement/ code solutions and help shape the future of AI adoption across the enterprise.

• *Responsibilities:
• Architect, design, and develop AI-powered applications and services leveraging AWS Bedrock and other AWS native services (Lambdas, Glue, S3, Athena, AWS Textract and other AWS AI services like Amazon Q etc.).
• Explore, evaluate, and operationalize LLM and agent-based solutions for real business workflows.
• Enhance and operationalize existing AI POCs into scalable production systems.
• Build secure, well-architected microservices using Python and/or Java, UI coding languages would be a value add.
• Integrate with AWS Bedrock agents, embeddings, and foundation models via secure APIs.
• Partner with Product, Architecture, Security, and Data Science to shape AI solution strategy.
• Implement cloud solutions using AWS Lambda, ECS, EC2, RDS, IAM, SQS, SNS, API Gateway, Step Functions, DynamoDB, and more.
• Maintain AWS best practices for performance, resiliency, and cost optimization.
• Support and contribute to existing non-AI platform modernization initiatives when needed.
• Drive software engineering excellence through code reviews, standards, and automation.
• *Technical Skills:
• 8+ years software development experience with Python (primary) and Java.
• Strong AWS engineering expertise in AWS Bedrock (Hands-on required: agents, embeddings, model orchestration) along with AWS Textract and other AWS AI services.
• Strong AWS engineering expertise in AWS Lambdas, IAM, API development, and authentication patterns.
• Solid practical understanding of Agentic architectures, LLM evaluation, and Cloud-native and event-driven architectures.
• Strong grasp of general engineering patterns (microservices, CI/CD, observability).
• Strong monitoring tool experience with Splunk or similar tools.
• Strong in solving the complex coding problem and build optimized solutions.
• Ability to independently drive technical decisions from concept to deployment.
• Strong architectural and solution design background.
• Experience collaborating in Agile engineering teams.
• *Good to Have:
• Experience with Vector Databases (Pinecone, Aurora Postgres pgvector).
• Familiarity with GraphQL, container orchestration (ECS, EKS).
• Prior experience in financial services, Operations process or regulated industries.
• Knowledge of evaluation frameworks and responsible AI practices.
• *For applications and inquiries, contact:** hirings@openkyber.com