Senior Application Developer

Senior Application Developer – AI Course Bots 100% Remote | Long-Term Contract | EST Working Hours About the Role Our client is seeking an experienced Senior Application Developer to help build next-generation AI-powered course bots using generative AI technologies on AWS Cloud . This role will play a key part in transforming business education through intelligent, interactive, and scalable learning experiences. Key Responsibilities Design and develop enterprise-grade AI course bots with a focus on scalability, performance, extensibility, and system integration. Implement the technical vision of the course bot platform using appropriate AI models, APIs, and AWS cloud services . Collaborate closely with faculty, product managers, and ed-tech experts to translate educational requirements into technical solutions. Build secure, robust, and scalable cloud-native solutions on AWS for bot deployment and operations. Follow best practices in AI-focused software development , including coding standards, code reviews, and testing methodologies. Integrate cutting-edge generative AI technologies to keep the platform at the forefront of educational innovation. Implement data ingestion, storage, and retrieval pipelines to support AI model workflows. Ensure seamless integration with Learning Management Systems (LMS) and other digital platforms. Implement monitoring, logging, and analytics to track bot performance, usage patterns, and learning outcomes. Enforce security, privacy, and compliance standards , including FERPA and educational data protection requirements. Collaborate with cross-functional teams to align technical delivery with business goals and user experience. Stay updated on emerging trends in AI, cloud computing, and educational technology and recommend innovative enhancements. Required Qualifications Bachelor’s degree (or equivalent) in Computer Science, Software Engineering , or related field. 5+ years of professional software development experience, primarily with cloud-native applications . Strong experience with serverless architectures, microservices, and event-driven systems . Hands-on experience with Retrieval-Augmented Generation (RAG) , including GraphRAG and contextual retrieval . Experience with generative AI evaluation frameworks . Experience with multi-agent frameworks such as AutoGen, LangGraph , or similar tools. Strong knowledge of AWS services , especially: AI/ML: SageMaker, Bedrock Serverless: Lambda, Step Functions Data: S3, DynamoDB, RDS Strong production-level coding skills in Python and JavaScript / TypeScript . Experience building AI/NLP applications using pre-trained and autoregressive LLMs (OpenAI, Anthropic, Cohere, Google, etc.). Experience designing and implementing RESTful APIs and GraphQL services . Familiarity with DevOps practices , including CI/CD, Infrastructure as Code, and automated testing. Solid understanding of data security, privacy, and compliance in educational environments. Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Experience working in Agile development environments . Preferred Qualifications Background in educational technology or e-learning platforms . Experience with Infrastructure as Code (Terraform, AWS CDK). Advanced understanding of LLMs and machine learning algorithms . Contributions to open-source projects or academic research . Knowledge of modern front-end frameworks such as React or Vue.js and backend integration.