Senior AI Developer specializing in Multi-Agent Systems and Integration at Nathan Digital

Position Overview

We are looking for a highly skilled AI Developer to join our team and lead the development of multi-agent systems, Retrieval-Augmented Generation (RAG) solutions, and model fine-tuning. The ideal candidate will possess hands-on experience with OpenAI APIs or other large language models, a strong background in TypeScript/JavaScript, and a working knowledge of MongoDB. This role involves creating advanced integrations with enterprise systems while ensuring the scalability, security, and reliability of AI-driven solutions.

Key Responsibilities

• AI Agent Development & Orchestration
  • Design, implement, and manage multi-agent AI workflows for complex business processes.
  • Integrate agents with existing HRMS, CRM, and ERP systems.
  • Optimize agent communication, memory, and decision-making strategies.
• RAG (Retrieval-Augmented Generation) Systems
  • Build and maintain vector database pipelines for enterprise knowledge retrieval.
  • Develop document ingestion flows (PDFs, Word, databases, APIs).
  • Ensure scalable, real-time retrieval for AI agents.
• Model Fine-Tuning & Customization
  • Fine-tune pre-trained large language models (LLMs) for domain-specific tasks.
  • Experiment with prompt engineering, parameter tuning, and evaluation metrics.
  • Collaborate with OpenAI, Anthropic, Hugging Face, or other AI providers for model optimization.
• Integration & System Architecture
  • Build REST/GraphQL APIs to expose AI capabilities to front-end and third-party systems.
  • Ensure security, logging, and monitoring of AI pipelines.
  • Collaborate with DevOps to deploy models and services in production.
• Collaboration & Innovation
  • Work closely with product, data, and engineering teams to design AI-first solutions.
  • Stay updated with the latest AI advancements and recommend innovative applications.
  • Provide technical guidance to junior developers and contribute to best practices.

Required Skills & Qualifications

• AI & LLMs: Hands-on experience with OpenAI API, LangChain, Llama Index, Hugging Face, or similar frameworks.
• Multi-Agent Systems: Experience designing autonomous agents, workflow orchestration, or AI-driven task delegation.
• RAG Systems: Strong understanding of vector stores (Pinecone, Weaviate, Milvus, or MongoDB Atlas Vector Search).
• Programming: Proficiency in TypeScript or JavaScript (Node.js ecosystem).
• Database: Working knowledge of MongoDB (schema design, indexing, aggregations).
• Cloud & APIs: Familiarity with REST, GraphQL, and cloud deployments (AWS/GCP/Azure).
• Model Training: Knowledge of fine-tuning LLMs, embeddings, and evaluation methods.

Preferred Skills (Bonus Points)

• Experience with Vue.js, Next.js, or other modern front-end frameworks.
• Knowledge of microservices architecture and message queues (RabbitMQ, Kafka, BullMQ).
• Familiarity with enterprise system integrations (HRMS, ERP, CRM).
• Understanding of compliance, data privacy, and security requirements in AI systems.

Qualifications

• Bachelor’s or Master’s in Computer Science, AI/ML, Data Engineering, or related fields.
• 2-5 years of experience in AI/ML development or full-stack engineering with a strong AI focus.
• Strong problem-solving and system design skills.
• Excellent communication and teamwork abilities.