Role Overview
Equinix is seeking an Intermediate Software Development Engineer (Applied AI Engineer) to join its Technology team in a hybrid capacity in Bengaluru, Karnataka, India. Operating at the intersection of production software engineering and applied artificial intelligence, you will contribute across the full lifecycle of LLM-powered applications, autonomous AI agents, and multimodal systems. You will build, integrate, deploy, evaluate, and monitor secure, low-latency AI solutions across enterprise services, leveraging modern agent frameworks, Model Context Protocol (MCP), and cloud-native AI infrastructure.
Core Responsibilities
- AI Application Engineering: Design, develop, and operate production-grade LLM applications, agentic workflows, and multimodal AI features across the end-to-end software lifecycle.
- Enterprise Model Integration: Embed generative AI models and agents into backend services, microservices, and APIs, ensuring low-latency inference, reliability, security, and scalability.
- Protocol & Tool Ecosystems: Build, integrate, and consume Model Context Protocol (MCP) servers, tools, and connected agent systems.
- Inference & Container Infrastructure: Package, deploy, and scale serving pipelines using containerization and inference frameworks such as Docker, FastAPI, Kubernetes, vLLM, and Ollama.
- Data & RAG Systems: Architect and optimize Retrieval-Augmented Generation (RAG) pipelines and transactional data workflows using PostgreSQL.
- Optimization & Experimentation: Continuously evaluate, test, and tune prompt architectures, model configurations, and pipeline throughput to drive measurable business impact.
Qualifications & Requirements
- Professional Experience: 1 to 4 years of software engineering experience, including 1 to 2 years of hands-on experience building and deploying production AI/ML applications.
- Programming & Core Systems: Advanced proficiency in Python and strong software engineering fundamentals covering distributed systems, data processing, and API design.
- Database Knowledge: Solid proficiency in PostgreSQL database design and query development.
- Generative AI & LLMs: Proven experience implementing Large Language Models, agentic workflows, prompt engineering, and Retrieval-Augmented Generation (RAG).
- Tooling & Protocols: Hands-on familiarity with the Model Context Protocol (MCP) for tools, servers, and agents, alongside modern inference technologies (vLLM, Ollama, FastAPI, Docker, Kubernetes).
- Preferred Qualifications: Working exposure to AWS AI services (Bedrock, SageMaker), knowledge of Java, Node.js, or Scala, and contributions to AI/ML open-source projects.
About Equinix
Equinix is the world’s digital infrastructure company®, interconnecting industry-leading organizations across finance, manufacturing, retail, transportation, government, healthcare, and digital media. Operating global, high-density data centers and cloud interconnection platforms, Equinix enables businesses to scale dynamically, launch digital services, and innovate securely.