AI Cloud Engineer with Java and python

Job description: We are seeking candidates with 4+ years of experience to build GenAI solutions using Python/Java, AWS, LLMs, RAG, and Langchain to address , current business issues. Design agents capable of task planning, decomposition, and tool/API invocation.

Key Responsibilities

• AI Solution Development: Design and implement GenAI solutions using LLMs, RAG, and Langchain to address real-world business problems.
• Agentic AI Systems: Design and implement autonomous agents capable of task planning, decomposition, and tool/API invocation.
• Backend Orchestration Services: Develop robust Python-based services and orchestrators for managing model interactions, task workflows, and contextual data.
• Cloud-Based Deployment: Deploy and optimize AI models on AWS, Step Func., Flink Services, Bedrock, Observe, Cloudwatch & Obstack, ECS, Fargate, EKS, Docker, Lamdba, Kafka, SageMaker ensuring scalability, reliability, and performance.
• AWS Security: CloudTrail, GuardDuty, Security Hub, CloudWatch
• API Integration: Integrate OpenAI and other GenAI services into enterprise applications via REST APIs and cloud-native SDKs.
• Prompt Engineering Fine-Tuning: Craft effective prompts and collaborate on model fine-tuning to align LLMs with domain-specific tasks.
• Performance Tuning: Optimize latency, cost, and throughput of GenAI models running on cloud platforms.
• Documentation Knowledge Sharing: Maintain clear documentation and mentor junior team members on GenAI concepts, tools,…

Skills

• Python
• Generative AI
• Java
• AWS
• LLMs