Job
Description
Position Type: PartTime / Contract / Remote Location: Open Experience Required: 2-3 years (or equivalent project experience) Key Responsibilities: Work with Large Language Models (LLMs) , both open-source (like LLaMA, Mistral, GPT-NeoX) and API-based (like OpenAI, Anthropic) Develop and manage multi-agent system architectures for AI-driven applications Conduct comparative evaluation of LLMs based on quality, speed, cost, and reliability Design, test, and optimize prompts , context management strategies, and resolve common issues like hallucinations and irrelevant outputs Understand the basics of model fine-tuning and customizing pre-trained models for domain-specific use-cases Build and integrate backend systems using Node.js , RESTful/GraphQL APIs, and database management (SQL / NoSQL) Deploy applications on cloud platforms like Firebase, AWS, or Azure , and manage resources effectively Implement and manage agentic AI systems , A2A workflows (agent-to-agent) , and RAG (Retrieval-Augmented Generation) pipelines Handle hosting, scaling, and deployment of websites/web apps and maintain performance during high traffic loads Optimize infrastructure for cost-effectiveness and high availability Work with frameworks like LangChain , AutoGen , or equivalent LLM orchestration tools Lead or collaborate on AI-powered product development from concept to deployment Balance between rapid prototyping and building production-grade, reliable AI applications Preferred Skills: Strong understanding of LLM evaluation frameworks and metrics Familiarity with LangChain, AutoGen, Haystack , or similar AI agent management libraries Working knowledge of AI deployment best practices Basic knowledge of Docker, Kubernetes , and scalable hosting setups Experience in managing cross-functional teams or AI development interns is a plus Bonus Advantage: Prior experience working on AI-powered SaaS platforms Contribution to open-source AI projects or AI hackathons Familiarity with data privacy, security compliance, and cost management in AI applications Show more Show less
