Junior AI Developer at Nathan Digital

Position Overview

We are seeking a highly skilled AI Developer to join our team and drive the development of multi-agent systems, RAG (Retrieval-Augmented Generation) solutions, and model fine-tuning. The ideal candidate will have hands-on experience with OpenAI APIs or other large language models, a solid background in TypeScript/JavaScript, and working knowledge of MongoDB. This role involves building sophisticated integrations with enterprise systems, ensuring 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 LLMs for domain-specific tasks.
  • Experiment with prompt engineering, parameter tuning, and evaluation metrics.
  • Work with Open AI, Anthropic, Hugging Face, or other AI providers for model optimization.
• Integration & System Architecture
  • Build REST/Graph QL 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 Open AI API, Lang Chain, 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, Graph QL, 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, or other modern front-end frameworks.
• Knowledge of microservices architecture and message queues (RabbitMQ, Kafka, Bull MQ).
• 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.
• 0-2 years of experience in AI/ML development or full-stack engineering with strong AI exposure.
• Strong problem-solving and system design skills.
• Excellent communication and teamwork abilities.