AI Engineer

About Emeritus:
Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 80 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China.

Emeritus’ short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 300,000 individuals across 80+ countries.
Founded in 2015, Emeritus, part of Eruditus Group, has more than 1,800 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. The company is backed by prominent investors including Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann.

Role Overview:
We’re looking for a hands-on AI Engineer to build and scale production-ready agentic AI systems across model, orchestration, and application layers.

Roles & Responsibilities
Design and build end-to-end AI systems using LLMs, RAG, and multi-agent frameworks
Develop agentic workflows using LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar tools
Integrate frontier models including GPT, Claude, Gemini, and open-source models
Build scalable backend APIs and customer-facing applications using Python, Node.js, React, or Next.js
Architect and deploy enterprise AI solutions on Azure AI Foundry and Azure OpenAI
Define evaluation frameworks, guardrails, memory systems, and failure recovery patterns
Partner closely with Product teams to shape features, user journeys, and product direction
Drive engineering best practices through code reviews, mentoring, and technical leadership

Key Requirements
5+ years of software engineering experience with 2+ years focused on AI/LLM products
Strong hands-on experience building production-grade agentic AI systems
Expertise in Python and TypeScript/JavaScript
Experience with LangChain, LangGraph, AutoGen, RAG architectures, and vector databases
Hands-on experience with Azure AI Foundry, Azure OpenAI, Docker, and Kubernetes
Strong full-stack development experience with React/Next.js and REST/GraphQL APIs
Experience working with Pinecone, Weaviate, pgvector, or Azure AI Search
Strong understanding of LLM evaluation, benchmarking, and observability
Ability to independently own and ship end-to-end AI features

Good to Have
Experience with Claude Skills, MCP servers, or similar agent tooling
Open-source contributions in the AI ecosystem
Prior startup, founding engineer, or product-led experience