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.
2-5 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.