Senior Full-Stack Engineer; Backend Focus, Agentic AI

MEVis asoftware development company based inthe United States and Europe. Itwas named after the mega-electronvolt, aunit ofenergy measurement inphysics. Weconvert our own energy into creating valuable products with high quality, and wevalue itover quick results.

Our client is building anAI-driven learning platform that transforms technical documentation (PDFs, presentations, technical manuals) into interactive courses with automated video generation and intelligent AItutoring. The platform serves pharmaceutical, manufacturing, and R&D sectors where subject matter experts need toconvert complex technical content into training materials without relying ontraditional learning and development teams.

Weare looking for aSenior Full-Stack Engineer with strong backend expertise toberesponsible for core backend services and agentic

AI workflow integration. You’ll architect and implement event-driven systems that orchestrate multi-stage AIpipelines (document extraction, content structuring, video generation), integrate external AI services, and build reliable job processing with checkpointing and error recovery.

This role requires strong full-stack development skills with adeep focus onthe backend, hands-on experience in building orintegrating agent-based workflows, and familiarity with LLM-based systems. You’ll work with a team toship a working proof-of-concept in 2 months, followed by MVP expansion over 4 months.

• Database: Postgre
  
  SQL (Supabase), Row-Level Security (RLS)
• AI/LLM: OpenAIAPI, Lang Chain/Lang Graph, Arize AI/Phoenix
• Job Queues: Redis/BullMQ or AWS SQS
• Storage: AWS S3 with signed URLs
• Email: Resend or Send Grid
• Error Monitoring: Sentry
• Analytics: Mixpanel, Amplitude, or Post Hog
• Infrastructure: AWS (Lambda, ECS Fargate, Cloud Front), Docker, Terraform/Ansible
• CI/CD: Git Hub Actions
• Observability: Sentry, Cloud Watch

Architect, Software Engineer, Designer, QAEngineer, Dev Ops Engineer, BA, Delivery Manager

• Cutting-edge agentic
  
  AI application combining multiple
  
  AI services into cohesive workflows
• Real-world impact, helping technical experts create accessible learning content
• Opportunity towork with OpenAI, Anthropic, and specialized
  
  AI services (document extraction, video generation)
• Greenfield project with modern tech stack and architectural freedom

• Agentic workflow integration: Design and implement multi-stage workflows (document extraction → course structuring → content generation → video creation) using Lang Chain/Lang Graph orsimilar orchestration frameworks
• Backend API development: Build NestJS REST APIs with Postgre
  
  SQL, implementing authentication, RBAC, and row-level security for multi-tenant data isolation
• External service integrations: Integrate Landing
  
  AI (document extraction from PDF, DOCX, PPTX, images), OpenAI and Anthropic (LLMgeneration), Synthesia (video generation), Arize
  
  AI (LLMevaluation/tracing), and Resend/Send Grid (transactional emails)
• Job processing: Implement asynchronous task queues using Redis/BullMQ orAWS SQS with idempotent processing, DLQ patterns, and state management
• Data architecture: Design database schemas with strong referencing, audit trails, and citation tracking for generated content
• Frontend collaboration: Contribute toNext.js/React development when needed tosupport full-stack feature delivery (working knowledge required, not primary focus)

• Build backend services and APIs that orchestrate multi-step workflows with checkpointing and error recovery.
• Design and implement agentic systems for course generation, chatbot functionality, and content processing.
• Operationalize prompts and LLM workflows designed byclient-side AIand instructional design experts.
• Integrate third-party APIs (LLMproviders, video generation) with proper rate limiting, retry logic, and cost monitoring.
• Implement secure authentication flows, RBACpolicies, and tenant isolation using Supabase Auth and RLS.
• Write database migrations, design efficient schemas, and optimize queries for performance.
• Contribute tofrontend development when needed tosupport full-stack features.
• Integrate application-level monitoring (Sentry) and analytics…