NextHire
Nexthire is a technology driven recruitment platform that enables companies to hire 2x faster with its advanced algorithms based on years of data.The leadership team has several decades of collective experience working for top product development companies in India. We believe in breaking the conventional ideas that have been rooted in the staffing industry. We provide end to end recruitment solutions and are developing amazing tools that will help shape the future of recruitment industry.Trusted by 100+ brands, MNCs and startups alike, we are creating a hiring experience like never before.
11 - 50 employees
AI Lead Engineer
Job not on LinkedIn
October 31
NextHire
Nexthire is a technology driven recruitment platform that enables companies to hire 2x faster with its advanced algorithms based on years of data.The leadership team has several decades of collective experience working for top product development companies in India. We believe in breaking the conventional ideas that have been rooted in the staffing industry. We provide end to end recruitment solutions and are developing amazing tools that will help shape the future of recruitment industry.Trusted by 100+ brands, MNCs and startups alike, we are creating a hiring experience like never before.
11 - 50 employees
📋 Description
• Design and build agentic workflows leveraging modern frameworks. • Develop robust LLM evaluation, tracing, and prompt ops pipelines. • Lead MCP (Model Context Protocol) based system integrations. • Deploy and scale AI/ML solutions with enterprise-grade reliability. • Collaborate with product and engineering teams to deliver high-impact solutions.
🎯 Requirements
• Proficiency with LangChain, LlamaIndex, or similar agentic frameworks. • Hands-on experience with LLM evaluation platforms (e.g., Langsmith, Arize, DeepEval). • Strong background in prompt engineering and prompt operations. • Expertise in deploying and managing AI/ML models in production environments. • Solid programming skills in Python and relevant AI/ML libraries. • Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. • Excellent problem-solving and communication skills.
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