Mev, Llc.
Senior Full-Stack Engineer (Backend Focus, Agentic AI)
Mev, Llc., Phoenix, Arizona, United States, 85003
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 isbuilding 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 agenticAI workflow integration. You’ll architect and implement event-driven systems that orchestrate multi-stage AIpipelines (document extraction, content structuring, video generation), integrate external AIservices, 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 inbuilding 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.
Project stack
Database:
PostgreSQL (Supabase), Row-Level Security (RLS)
AI/LLM:
OpenAIAPI, LangChain/LangGraph, Arize AI/Phoenix
Job Queues:
Redis/BullMQ or AWS SQS
Storage:
AWS S3 with signed URLs
Email:
Resend or SendGrid
Error Monitoring:
Sentry
Analytics:
Mixpanel, Amplitude, or PostHog
Infrastructure:
AWS (Lambda, ECS Fargate, CloudFront), Docker, Terraform/Ansible
CI/CD:
GitHub Actions
Observability:
Sentry, CloudWatch
Team composition Architect, Software Engineer, Designer, QAEngineer, DevOps Engineer, BA, Delivery Manager
Project Highlights
Cutting-edge agenticAI application combining multipleAI services into cohesive workflows
Real-world impact, helping technical experts create accessible learning content
Opportunity towork with OpenAI, Anthropic, and specializedAI services (document extraction, video generation)
Greenfield project with modern tech stack and architectural freedom
What you’ll work on
Agentic workflow integration:
Design and implement multi-stage workflows (document extraction → course structuring → content generation → video creation) using LangChain/LangGraph orsimilar orchestration frameworks
Backend APIdevelopment:
Build NestJS REST APIs with PostgreSQL, implementing authentication, RBAC, and row-level security for multi-tenant data isolation
External service integrations:
Integrate LandingAI (document extraction from PDF, DOCX, PPTX, images), OpenAI and Anthropic (LLMgeneration), Synthesia (video generation), ArizeAI (LLMevaluation/tracing), and Resend/SendGrid (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)
Scope of tasks and ownership
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 tools (Mixpanel/Amplitude/PostHog) with backend services.
Participate inarchitecture decisions, code reviews, and sprint planning.
Collaborate with the solution architect ontechnical design decisions.
Work with DevOps engineer ondeployment requirements and observability tooling.
Partner with afrontend-focused engineer onAPIcontracts, data models, and full-stack feature integration.
What You’ll need
5+years offull-stack development experience with astrong backend focus (Node.js, TypeScript).
Experience using AI-powered productivity tools (Cursor, VSCode with Copilot, orsimilar AI-enhanced IDEs) and LLMs for research and problem-solving (ChatGPT, Claude, etc.).
Experience building orintegrating agentic workflows orLLM-powered applications.
Hands-on experience with LangChain, LangGraph, orsimilar orchestration frameworks.
Familiarity with OpenAIand/or Anthropic APIs, prompt engineering, and structured output validation.
Working knowledge ofReact and Next.js (able tocontribute tofull-stack features when needed).
Solid understanding ofPostgreSQL (schema design, migrations, query optimization).
Experience with event-driven architectures, job queues (Redis/BullMQ, AWS SQS), and asynchronous processing.
Familiarity with NestJS orsimilar backend frameworks (Express, Fastify).
Experience with authentication, authorization, and multi-tenant data isolation patterns.
Strong problem-solving skills and ability towork autonomously with minimal oversight.
Clear written and spoken English for async collaboration and documentation.
Nice to have
Experience with Supabase (Auth, RLS, Realtime).
Familiarity with LLM observability tools (Arize AI, Phoenix, LangSmith).
Experience with document processing pipelines orOCR integration.
Knowledge ofvideo generation APIs (Synthesia orsimilar).
Familiarity with error monitoring (Sentry) and product analytics tools (Mixpanel, Amplitude, PostHog).
Understanding ofprompt engineering principles and best practices.
Experience with evaluation frameworks for LLM-generated content.
Background inEdTech, content generation, orlearning platforms.
Familiarity with Tailwind CSS and modernUI development patterns.
GitHub-based workflows and conventional commits.
Nomicromanagement
Freedom toengage indecision-making and implementation
Ability towork inateam ofprofessionals (the ratio ofmiddle and above specialists 80/20)
Participation inthe development ofhigh-quality products
Direct communication with clients onapartnership level
Professional development opportunities ($600 education budget, well-managed processes, communities, internal library)
Health insurance
$600 extra for health care, sports, ormental health
20paid working days off and 10days sick leave
Opportunity towork remotely
Soulful team buildings and corporate events
#J-18808-Ljbffr
Our client isbuilding 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 agenticAI workflow integration. You’ll architect and implement event-driven systems that orchestrate multi-stage AIpipelines (document extraction, content structuring, video generation), integrate external AIservices, 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 inbuilding 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.
Project stack
Database:
PostgreSQL (Supabase), Row-Level Security (RLS)
AI/LLM:
OpenAIAPI, LangChain/LangGraph, Arize AI/Phoenix
Job Queues:
Redis/BullMQ or AWS SQS
Storage:
AWS S3 with signed URLs
Email:
Resend or SendGrid
Error Monitoring:
Sentry
Analytics:
Mixpanel, Amplitude, or PostHog
Infrastructure:
AWS (Lambda, ECS Fargate, CloudFront), Docker, Terraform/Ansible
CI/CD:
GitHub Actions
Observability:
Sentry, CloudWatch
Team composition Architect, Software Engineer, Designer, QAEngineer, DevOps Engineer, BA, Delivery Manager
Project Highlights
Cutting-edge agenticAI application combining multipleAI services into cohesive workflows
Real-world impact, helping technical experts create accessible learning content
Opportunity towork with OpenAI, Anthropic, and specializedAI services (document extraction, video generation)
Greenfield project with modern tech stack and architectural freedom
What you’ll work on
Agentic workflow integration:
Design and implement multi-stage workflows (document extraction → course structuring → content generation → video creation) using LangChain/LangGraph orsimilar orchestration frameworks
Backend APIdevelopment:
Build NestJS REST APIs with PostgreSQL, implementing authentication, RBAC, and row-level security for multi-tenant data isolation
External service integrations:
Integrate LandingAI (document extraction from PDF, DOCX, PPTX, images), OpenAI and Anthropic (LLMgeneration), Synthesia (video generation), ArizeAI (LLMevaluation/tracing), and Resend/SendGrid (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)
Scope of tasks and ownership
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 tools (Mixpanel/Amplitude/PostHog) with backend services.
Participate inarchitecture decisions, code reviews, and sprint planning.
Collaborate with the solution architect ontechnical design decisions.
Work with DevOps engineer ondeployment requirements and observability tooling.
Partner with afrontend-focused engineer onAPIcontracts, data models, and full-stack feature integration.
What You’ll need
5+years offull-stack development experience with astrong backend focus (Node.js, TypeScript).
Experience using AI-powered productivity tools (Cursor, VSCode with Copilot, orsimilar AI-enhanced IDEs) and LLMs for research and problem-solving (ChatGPT, Claude, etc.).
Experience building orintegrating agentic workflows orLLM-powered applications.
Hands-on experience with LangChain, LangGraph, orsimilar orchestration frameworks.
Familiarity with OpenAIand/or Anthropic APIs, prompt engineering, and structured output validation.
Working knowledge ofReact and Next.js (able tocontribute tofull-stack features when needed).
Solid understanding ofPostgreSQL (schema design, migrations, query optimization).
Experience with event-driven architectures, job queues (Redis/BullMQ, AWS SQS), and asynchronous processing.
Familiarity with NestJS orsimilar backend frameworks (Express, Fastify).
Experience with authentication, authorization, and multi-tenant data isolation patterns.
Strong problem-solving skills and ability towork autonomously with minimal oversight.
Clear written and spoken English for async collaboration and documentation.
Nice to have
Experience with Supabase (Auth, RLS, Realtime).
Familiarity with LLM observability tools (Arize AI, Phoenix, LangSmith).
Experience with document processing pipelines orOCR integration.
Knowledge ofvideo generation APIs (Synthesia orsimilar).
Familiarity with error monitoring (Sentry) and product analytics tools (Mixpanel, Amplitude, PostHog).
Understanding ofprompt engineering principles and best practices.
Experience with evaluation frameworks for LLM-generated content.
Background inEdTech, content generation, orlearning platforms.
Familiarity with Tailwind CSS and modernUI development patterns.
GitHub-based workflows and conventional commits.
Nomicromanagement
Freedom toengage indecision-making and implementation
Ability towork inateam ofprofessionals (the ratio ofmiddle and above specialists 80/20)
Participation inthe development ofhigh-quality products
Direct communication with clients onapartnership level
Professional development opportunities ($600 education budget, well-managed processes, communities, internal library)
Health insurance
$600 extra for health care, sports, ormental health
20paid working days off and 10days sick leave
Opportunity towork remotely
Soulful team buildings and corporate events
#J-18808-Ljbffr