Senior Associate Software Engineer - AI/ML
Senior Associate Software Engineer - AI/ML
- JR-157655
- 杂交种
- Bengaluru
- Technology
- Full time
Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.
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
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
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