Why This Role Stands Out
This hybrid role offers a fantastic opportunity to lead cutting-edge AI development, leveraging your expertise in Agentic AI, Generative AI, and AWS services to build innovative solutions. You'll thrive here if you have advanced Python and LLM orchestration skills, and are eager to contribute to impactful projects within a forward-thinking technology company. Apply today to shape the future of AI with Apexon!
Quick Overview
Job Description
Role Overview
We are seeking an AWS Developer with strong hands-on experience in Agentic AI, Generative AI, Python, LLM orchestration, RAG, and AWS services. The ideal candidate will have advanced experience developing AI agents and LLM-based solutions, along with experience implementing AWS Bedrock, Amazon Connect, serverless services, and REST APIs.
Required Skills
• Advanced experience with AI Agents and Agentic AI frameworks.
• Advanced experience with Generative AI, including prompt engineering and structured outputs.
• Advanced Python development experience.
• Advanced experience with LLM orchestration.
• Advanced experience with Retrieval Augmented Generation (RAG) and LLM evaluation.
• Intermediate experience with REST APIs and FastAPI.
• Experience with AWS CloudFormation.
• Experience with AWS API Gateway.
• Experience with AWS Fargate.
• Experience with AWS Lambda.
• Experience with AWS OpenSearch.
• Experience with AWS Bedrock, including Q&A chatbot solutions.
• Experience with Amazon Connect, including contact flows and administration.
Preferred Skills
• Experience developing production-ready Agentic AI and Generative AI solutions.
• Experience integrating LLM applications with AWS cloud services.
• Experience designing scalable serverless AI architectures.
Key Responsibilities
• Design and develop AI Agents and Agentic AI solutions using modern frameworks.
• Develop Generative AI solutions using prompt engineering and structured outputs.
• Build Python-based applications and services supporting LLM orchestration.
• Design and implement RAG solutions and evaluate LLM performance.
• Develop REST APIs and FastAPI services for AI and cloud applications.
• Build and configure AWS solutions using CloudFormation, API Gateway, Fargate, Lambda, and OpenSearch.
• Develop and integrate AWS Bedrock based Q&A chatbot solutions.
• Configure and administer Amazon Connect, including contact flows.
• Design and implement scalable, secure, and maintainable cloud-based solutions.
• Collaborate with technical and business teams to understand requirements and deliver AI and AWS solutions.
Education Requirement
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Business Administration, or a related field is preferred.
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