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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.
