AppMail

Role Description

This is a full-time remote role for a Senior Agent-Orchestration Engineer (Manus-Style Autonomous Marketing Agents) at AppMail. The role involves overseeing the development and implementation of autonomous marketing agents to enhance customer engagement and user experience.

 

Full-Stack Development

* Platform Architecture: Design and implement scalable, maintainable full-stack applications using our tech stack - React.js, Node.js, Next.js, and PostgreSQL
* API Development: Build and maintain RESTful APIs that serve both human users and AI agents, ensuring high performance and reliability
* Database Design: Define, optimize PostgreSQL schemas for complex marketing data, user interactions, and AI agent state management
* Cloud Infrastructure: Deploy and manage applications on AWS, implementing Infrastructure as Code (IaC) practices using tools like Terraform or CloudFormation
* Performance Optimization: Ensure application performance meets enterprise standards 
* Analytics & Reporting: Build comprehensive dashboards and reporting tools that surface AI-driven insights and marketing performance metrics
* User Experience: Implement intuitive interfaces that catering to marketing professionals to interact with, configure, and monitor AI agents effectively

AI Agent Development & Integration

* Agent Architecture: Define to implement multi-agent systems that can collaborate on complex marketing workflows and decision-making processes
* Model Identification & Integration: Integrate and optimize LLMs (like OpenAI GPT, Claude, Llama) for product identified use cases 
* Marketing Workflows: Translate complex marketing processes into agent-executable workflows including campaign planning, campaign generation and design readiness
* RAG Systems: Build and maintain Retrieval-Augmented Generation systems to provide agents with domain-specific marketing knowledge and real-time data access
* Agent Orchestration: Develop workflows for agent coordination, task delegation, and inter-agent communication using frameworks like LangChain, CrewAI, or AutoGen
* Vector Databases: Implement and manage vector storage solutions (Pinecone, Weaviate, or pgvector) for semantic search and knowledge retrieval

 

 

 

Required QualificationsFull-Stack Engineering Experience

* 7+ years of professional full-stack development experience 
* Expert-level proficiency in React.js including, context, application state management (Redux), and modern React patterns
* Proficiency with Node.js and Next.js, including API design, middleware development, and server-side rendering
* Advanced PostgreSQL knowledge and database design principles
* Cloud expertise with hands-on experience in AWS EC2, RDS, S3, Lambda, API Gateway
* Expertise in defining and designing different software architectures based on platform requirements

AI & Machine Learning Proficiency

* 2+ years of experience building production AI applications, particularly with LLMs & LAMs, SLMs
* Hands-on experience with AI agent frameworks such as LangChain, CrewAI, AutoGen, LiveKit or similar orchestration tools, 
* Proficiency in prompt engineering, fine-tuning, and optimizing LLM performance for specific use cases
* Experience with vector databases and semantic search implementations
* Understanding of RAG architectures, embedding models, and knowledge retrieval systems

Software Engineering Fundamentals

* Expert full stack especially skilled in TypeScript/JavaScript and Python for AI/ML workflows
* Testing proficiency including unit testing, integration testing, and end-to-end testing frameworks.
* Possesses DevOps capabilities such as CI/CD pipelines, containerization (Docker), and automated deployment strategies
* API integration experience with third-party services, webhook handling, and rate limiting strategies

Problem-Solving & Communication

* Proven ability to architect complex systems and make sound technical decisions under ambiguity
* Strong analytical skills for debugging complex issues across full-stack and AI components
* Excellent communication skills for explaining technical concepts to non-technical stakeholders
* Experience working in fast-paced startup environments with ability to prioritize and deliver quickly

Responsibility Structure

1. Full-Stack Development (40%) - Traditional web app architecture, APIs, database design, AWS deployment
2. AI Agent Development (40%) - Multi-agent systems, LLM integration, RAG systems, vector databases
3. Marketing Domain Integration (10%) - Marketing workflows, CRM/advertising platform APIs
4. Technical Leadership (10%) - Code quality, mentorship, cross-functional collaboration

*

Marketing strategies

Database

PostgreSQL

Amazon

React

Node.js

Database Architecture

Ux writing

Machine learning

Redux

TypeScript

JavaScript

Python

Next.js

Testing

Data

Unit Testing

DevOps

Docker

Amazon EC2

Amazon S3

Cloud

Software Development

Communication Skills

Continuous Integration

Infrastructure

Terraform

AWS Cloud Infrastructure

Campaign planning

Integration Testing

Web Development

UI design

Internet Advertising

Team collaboration

Langchain

Crewai

Pinecone

Weaviate

CI/CD

Senior Agent-Orchestration Engineer (Manus-Style Autonomous Marketing Agents)