Senior Associate Software Engineer - Artificial Intelligence and Machine Learning

Job Summary

Equinix is seeking a highly motivated Associate Software Engineer with a strong focus on building AI/ML‑driven solutions to join our Bangalore team. In this role, you will design, build, and launch production‑grade, multi‑agent systems and conversational experiences, spanning orchestration, RAG design, model serving, real‑time inference, and observability. You will work with state‑of‑the‑art Large Language Models (LLMs), agentic AI frameworks, and modern engineering practices to deliver solutions that meet real customer and business needs.

This  role is ideal for candidates with foundational knowledge in AI/ML and software engineering who are eager to learn and grow. You will assist in building AI-driven solutions, working with modern frameworks and tools to support real-world applications.

Responsibilities

• Design, build, and maintain Agentic AI systems using frameworks such as OpenAI[RP1] , LangChain, LlamaIndex, AutoGen, CrewAI, Google ADK or similar

• Develop Conversational AI bots and assistants across multiple channels (chat or embedded apps)

• Integrate LLMs (OpenAI, Anthropic, Gemini, etc.) with APIs, databases, and enterprise systems

• Implement memory, retrieval, and reasoning modules to make agents context-aware and goal-oriented

• Optimize prompt design, chain-of-thought reasoning, and agent orchestration for reliability and performance

• Collaborate with product and research teams to define AI-driven workflows and use cases

• Continuously evaluate and integrate new AI libraries, frameworks, and model APIs

• Apply RAG (Retrieval-Augmented Generation) and tool-using techniques for improved factual accuracy

• Monitor agent performance, analyze logs, and apply feedback loops for continuous improvement

• Follow best practices for AI ethics, security, and data privacy in all AI solutions

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

• 1–2 years of experience in software development or AI/ML projects

• Basic proficiency in Python and familiarity with JavaScript/TypeScript

• Exposure to AI/ML frameworks (OpenAI, Hugging Face, LangChain, etc.) is a plus

• Understanding of software engineering fundamentals (version control, CI/CD, testing)

• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker)

• Knowledge of vector databases and embeddings (Pinecone, FAISS, etc.)

• Exposure to NLP concepts and generative AI applications

• Strong problem-solving skills and willingness to learn new technologies

• Ability to work effectively across cross‑functional teams and global time zones, with strong communication skills and the ability to influence both technical and non‑technical stakeholders