Senior Full Stack Engineer � AI & LMS Platforms
Accylerate · United States
- Hybrid
- Contract
- $150,000 / year
- United States
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Job highlights
- Develop AI and automation for LMS platforms.
- Build agentic AI capabilities and bot testing.
- Design and deploy AWS cloud solutions.
- Integrate LMS with external systems.
- Requires 7+ years software development experience.
About the role
Senior Full Stack Engineer - AI & LMS Platforms
Accylerate is seeking a talented Senior Full Stack Software Engineer to join our innovative team. This role focuses on developing and integrating our Learning Management System (LMS) platforms, with a significant emphasis on advancing AI and automation capabilities. As a Senior Full Stack Engineer, you will be instrumental in designing, developing, and implementing complex software solutions. Your responsibilities will include coding, managing project segments, adhering to deadlines, creating design specifications, performing unit testing, and preparing technical documentation. You will also ensure professional relationships with customers and cross-functional team members. Key to this role is the advancement of AI and automation development, building agentic AI capabilities and AI bot automation testing to enhance delivery speed and quality across the LMS platform and its integrations. You will analyze procedures and implement solutions that strengthen our LMS ecosystem and enhance learning experiences, with a strong focus on AI-driven and automated development. You will design, develop, implement, and deploy AWS cloud solutions and LMS integrations, ensuring consistency, reducing risk, and promoting efficiency. The ideal candidate will have a proven track record of designing, developing, and implementing serverless software solutions for AI-driven automation in LMS and ERP platforms, with strong technical skills in LMS, ERP systems, and SaaS integration. Key Responsibilities:- Develop and implement AI-driven and automated development and testing solutions.
- Build agentic AI capabilities and AI bot automation testing.
- Design, develop, implement, and deploy AWS cloud solutions and LMS integrations.
- Analyze procedures and implement solutions to strengthen the LMS ecosystem.
- Ensure professional relationships with customers and cross-team members.
- Minimum 7 Years Demonstrated Experience With Software Development.
- Expert level experience in React, NodeJS, Java and scripting in a Cloud based environment.
- Advanced experience with AWS Lambda, SNS/SQS, S3, IAM, CloudWatch, RDS and DynamoDB, AWS CLI.
- Strong design and development experience in building and monitoring microservices including UI.
- Experience building and supporting API-based and file-based integrations with LMS platforms and external systems (LTI 1.3, SCORM, xAPI).
- In-depth clean architecture knowledge, Postgres DB scaling, AWS ECS/Kubernetes, Fargate.
- Experience setting up DataOps and DevSecOps.
- Demonstrated experience building AI-driven and automated development and testing solutions, including AI bot automation testing and agentic AI.
- Strong automation engineering across the SDLC: automated API integration testing, Playwright E2E, automated E2E browser testing, and CI/CD automation (CloudFormation, Jenkins, Git, AWS Code Pipeline).
- Fundamentals in OO and computer science foundation principles.
- Working knowledge of distributed architectural design patterns.
- Knowledge of systems analysis and design (including OOAD and UML), and database design.
- Knowledge of software development lifecycle and modern software engineering principles and practices.
- High analytical skills and knack to develop tools for monitoring high frequency data services.
- Experience with LearnUpon and Workday API integrations.
- Experience working on Agile teams with a supportive team member attitude.
- Advanced demonstrated experience with AWS cloud supported programming languages like JavaScript, TypeScript, or Python.
- Ability to use: KMS, ALB/ELB, Route 53, VPC.
- Fluency with CI/CD toolsets such as: CloudFormation, BitBucket, Jenkins, Ansible.
- Experience with relational databases, and NoSQL databases.
- Experience building infrastructure as code using AWS CloudFormation or similar scripting techniques.
- Appetite to Learn new things.
- Bachelor's degree and/or other advanced degree(s).
- Relevant AWS or other professional certifications.
- Senior Full Stack Engineer
- AI Development
- LMS Platforms
- React
- NodeJS
- AWS Lambda
- Microservices
- Automation Testing
- CI/CD
- SaaS Integration
Skills & topics
- Senior Full Stack Engineer
- AI Development
- LMS Platforms
- React
- NodeJS
- AWS Lambda
- Microservices
- Automation Testing
- CI/CD
- SaaS Integration
- Software Engineering
- Cloud Computing
- Serverless
- API Integrations
- Agentic AI
- Agile
- DevOps
- Test Automation
- Full Stack Development
- AWS
How to get hired
- Tailor your resume: Highlight your AI, automation, React, NodeJS, and AWS Lambda experience. Quantify achievements in software development and LMS integrations.
- Craft a compelling cover letter: Express your passion for AI-driven development and improving learning experiences. Connect your skills directly to Accylerate's needs.
- Prepare for technical interviews: Brush up on React, NodeJS, microservices, AWS services (Lambda, S3, etc.), and CI/CD pipelines. Be ready to discuss your experience with agentic AI and automation testing.
- Demonstrate problem-solving: Anticipate questions about complex software design, system analysis, and troubleshooting. Showcase your analytical skills and ability to deliver efficient cloud solutions.
- Understand the company: Research Accylerate's mission, values, and recent projects. Show genuine interest in their focus on AI and LMS platforms.
Technical preparation
Master React, NodeJS, and AWS Lambda deeply.,Practice microservices design and implementation.,Build and test CI/CD pipelines.,Develop AI bot automation and agentic AI.
Behavioral questions
Describe a complex AI automation project.,How do you handle tight project deadlines?,Explain your approach to LMS integrations.,How do you ensure cross-team collaboration?
Frequently asked questions
- What specific AI and automation experience is Accylerate looking for in a Senior Full Stack Engineer?
- Accylerate is prioritizing candidates with demonstrated experience in AI-driven development and automated testing. This includes AI bot automation testing (script authoring, automated regression), agentic AI within software development, and AI-assisted test maintenance. Experience with CI/CD automation is also crucial.
- What are the core technologies for the Senior Full Stack Engineer role at Accylerate?
- The core technologies for this role include advanced React, NodeJS, and AWS Lambda. You should also have strong experience with microservices, CI/CD automation, and building API-based integrations, particularly for LMS platforms using standards like LTI 1.3, SCORM, and xAPI.
- Does Accylerate require specific experience with Learning Management Systems (LMS) for this Senior Full Stack Engineer position?
- Yes, experience with LMS development and integrations is a primary focus for this Senior Full Stack Engineer role. The company emphasizes strengthening the organization's LMS ecosystem and enhancing learning experiences through AI and automation.
- What level of AWS experience is expected for this Senior Full Stack Engineer role?
- Accylerate expects advanced experience with AWS services such as Lambda, SNS/SQS, S3, IAM, CloudWatch, RDS, and DynamoDB. Strong technical skills in the virtual infrastructure domain, specifically AWS, are required, including experience with serverless solutions and deploying AWS cloud solutions.
- How does Accylerate approach CI/CD and automation engineering for its Senior Full Stack Engineers?
- Accylerate emphasizes strong automation engineering across the SDLC, including automated API integration testing, Playwright E2E, automated E2E browser testing, and robust CI/CD automation using tools like CloudFormation, Jenkins, Git, and AWS Code Pipeline. Experience with Git Actions is also noted.
- What is the minimum years of experience required for the Senior Full Stack Engineer position?
- Accylerate requires a minimum of 7 years of demonstrated experience in software development for this Senior Full Stack Engineer role. Expert-level experience in specific technologies like React and NodeJS is also a key requirement.
- Are there specific preferred skills for the Senior Full Stack Engineer role at Accylerate?
- Preferred skills include high analytical abilities for monitoring data services, experience with specific LMS/ERP APIs like LearnUpon and Workday, working on Agile teams, advanced proficiency in JavaScript, TypeScript, or Python, and experience building infrastructure as code.
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