AI/ML Engineer

Required Qualifications & ExperienceCore AI/ML & Agentic Engineering (Must-Have)8+ Years in software/AI engineering, with 3+ years directly building, deploying, and maintaining production-grade LLM applications, RAG pipelines, or autonomous agent frameworks.Agentic Frameworks: Hands-on mastery of multi-agent orchestration patterns, tool calling, stateful graphs, and memory management (e.g., LangGraph, AutoGen, LlamaIndex, Semantic Kernel).Google Cloud Platform AI Ecosystem: Deep experience with

Job Title: AI ArchitectLocation: 100% RemoteJob Type: Long-term Contract Job Description We are seeking an experienced AI Architect with strong expertise in Agentic AI systems to design and implement intelligent, autonomous AI solutions that can reason, plan, and execute complex tasks. The ideal candidate will have deep experience in large language models (LLMs), multi-agent systems, orchestration frameworks, and AI infrastructure, along with the ability to translate business requirements into s

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering c

Position: Agentic AI Engineer Location: Remote Job Description: 56 years of experience in Core Application Engineering Minimum 2 years of hands-on experience in Agentic AI Engineering Delivered at least 2 production-grade Agentic AI applications as an Engineer Strong understanding of Agentic AI, Multi-Agent Systems, AI Workflows, Agent Orchestration, MCP (Model Context Protocol) Good to have hands-on experience with LangGraph, LangChain, CrewAI & AutoGen Strong experience in Prompt En