Job Overview
Kohler has released the AI Engineer I job notification for 2026. This is a full-time opportunity based in Pune, Maharashtra, India, suitable for early-career professionals with up to 2 years of experience or strong academic and portfolio-based exposure to AI and machine learning.
The role is part of Kohler’s AI team and focuses on building AI-enabled enterprise workflows. Selected candidates will work on full-stack development, Generative AI integrations, Retrieval-Augmented Generation pipelines, vector search, agentic workflows, and unstructured data ingestion. The position offers hands-on exposure to enterprise platforms and modern AI tooling while following responsible AI and MLOps best practices.
This opportunity is ideal for candidates looking to build a strong foundation in enterprise AI engineering within a global organization committed to innovation and sustainability.
Organization Details
Kohler is a global leader with a mission to help people live gracious, healthy, and sustainable lives. The company emphasizes innovation, creative excellence, and a people-first culture that supports continuous learning and professional growth.
Kohler promotes global inclusion and equal opportunity across all roles. The organization invests in employee well-being, collaboration across teams, and responsible business practices. With a strong legacy and global footprint, Kohler offers employees the opportunity to work on impactful, enterprise-scale technology initiatives.
Eligibility Criteria
Candidates applying for the AI Engineer I role should have 0 to 2 years of software engineering experience or strong academic and portfolio-based projects in AI or ML.
Applicants must demonstrate proficiency in Python and JavaScript or TypeScript, including experience with React or Node.js. Working knowledge of SQL is required. Exposure to machine learning concepts, large language models, and frameworks such as LangChain or LlamaIndex is expected.
Candidates should be familiar with vector databases like FAISS, Milvus, or Pinecone, along with embedding models. Experience with Git, Docker, and CI/CD tools such as Azure DevOps or GitHub Actions is required. Basic understanding of MLOps concepts including model versioning, pipeline automation, and monitoring is essential.
Preferred experience includes hands-on exposure to Databricks, MLflow, Azure AI Foundry services, enterprise workflows such as SAP, Workday, ServiceNow, or PLM tools, and responsible AI practices like prompt risk mitigation and audit logging.
Age Limit
Kohler has not specified any age limit for the AI Engineer I position. Candidates are advised to apply based on their experience level and technical suitability.
Selection Process
The selection process details have not been explicitly mentioned. Candidates may be shortlisted through application screening followed by technical interviews, discussions on AI concepts, and evaluation of practical or portfolio-based work as per Kohler’s hiring standards.
Kohler reserves the right to define and modify the selection stages based on business requirements.
Salary
Salary details for the AI Engineer I role have not been disclosed. Compensation will be offered as per Kohler’s internal pay structure and industry standards, aligned with experience and skill level.
Important Dates
The job was posted 12 days ago. The application closing date has not been specified. Candidates are encouraged to apply at the earliest.
Application Fee
There is no application fee mentioned for this position. Candidates should not make any payments to apply for Kohler jobs.
