Job Requirement: AI Engineer (LLM, Multi-Agent Systems & Backend Specialist)

Alpixn Technologies Private Limited

2 - 3 years

0 Lacs

Gurugram Haryana India

Posted:1 month ago| Platform:

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Skills Required

ai mistral api openai evaluation reliability design test management strategies resolve model tuning node.js graphql database sql nosql firebase aws azure retrieval scaling deployment effectiveness orchestration development prototyping metrics docker kubernetes saas data security compliance

Work Mode

Remote

Job Type

Full Time

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

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