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Full-time
bachelor degree
Posted 45d ago
~40 hrs/week
Responsibilities
Design and deploy GenAI-powered solutions and agentic workflows using frameworks like LangChain and LangGraph. Build robust data and RAG pipelines while implementing responsible AI practices and model evaluation strategies.
Requirements
Requires a Bachelor's degree in Computer Science or a related field with 2-4 years of experience in AI/ML engineering. Proficiency in Python, SQL, PySpark, and hands-on experience with GenAI frameworks and Databricks is essential.
Full job description
Duties & Responsibilities
· Design, build, and ship GenAI-powered solutions using frameworks like LangChain, LlamaIndex, Hugging Face, and Azure AI Studio.
· Develop and operationalize agentic workflows for autonomous, multi-step task execution using LangGraph, OpenAI Agents SDK, AutoGen/CrewAI, and Databricks Genie.
· Partner with cross-functional teams (data science, product, and business) to translate requirements into production-grade AI applications with measurable business impact.
· Build and maintain robust data pipelines, RAG pipelines, and model deployment workflows using Databricks, Snowflake, and Azure Data Factory.
· Own prompt engineering, model evaluation, and fine-tuning of LLMs for enterprise use cases, including offline and online evaluation pipelines.
· Implement responsible AI practices through observability, guardrails, governance, and feedback loops.
· Contribute reusable components, libraries, and best practices that accelerate the team's GenAI delivery.
Requirements
Minimum Years of Experience Description
3+ years - 2 to 4 years of AI/ML experience, including hands-on delivery on Databricks
3+ years - 3+ years of experience with Python, SQL, PySpark and one or more Gen AI frameworks such as Langgraph, OpenAI Agents SDK, Autogen, CrewAI, etc.
Basic Qualifications
· Bachelor's degree in Computer Science, Engineering, or related field.
· 2-4 years of experience in AI/ML engineering, with hands-on delivery of GenAI and agentic architectures.
· Proven experience deploying enterprise-grade AI solutions and integrating them into business workflows.
· Solid understanding of NLP, transformer models, RAG patterns, and MLOps practices.
· Experience with AI-native software development practices and tools (e.g., GitHub Copilot, AI-assisted SDLC).
Preferred Qualifications
· Experience in Test Driven Development and model evaluation strategies, including offline and online evaluation pipelines.
· Prior work experience in an agile, cross-functional team, collaborating with data scientists, engineers, and product managers.
· Ability to break down complex AI problems, estimate development effort, and deliver scalable solutions independently.
· Up-to-date knowledge of GenAI and LLM trends, including frameworks like Gemini, LlamaIndex, and LangGraph, and their enterprise applications.
· Understanding of AI governance, including model explainability, fairness, and security (e.g., prompt injection, data leakage mitigation).
· Exposure to cloud platforms (Azure preferred) and containerized deployment (Docker, Kubernetes/AKS).
Related keywords
GenAILLMLangChainLlamaIndexHugging FaceAzure AI StudioLangGraphOpenAI Agents SDKAutoGenCrewAIDatabricksSnowflakeAzure Data FactoryRAGPrompt EngineeringMLOps
The technology and innovation hub of Staples, turning bold ideas into real impact.
Industry
Technology, Information and Internet
Company size
201-500 employees
Headquarters
Chennai, Tamil Nadu
LinkedIn followers
53,823
Be the reason bold ideas take off.
At Staples India, we’re not just a tech arm—we’re the innovation engine fueling global transformation at Staples. From Chennai, we build tomorrow’s solutions for today’s challenges.
For nearly 40 years, Staples has been the industry leader in delivering end-to-end workplace solutions for consumers and businesses of all sizes with a comprehensive product assortment including high-quality office supplies, janitorial products, technology, furniture and breakroom essentials, along with strategic services like print & marketing, shipping, travel, and promotional products.
Our team develops cutting-edge solutions that define the future of workplace productivity and sustainability.