Senior AI Engineer

Ingersoll Rand
Mexico
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving"]

Design and deliver generative AI and data products that power AI assistants for sales and technical support workflows. Build LLM-based systems using Snowflake, Cortex AI, Vertex AI, and cloud-native platforms, bridging prototypes to production-ready solutions. Develop web-based AI applications and backend services in Python, implement RAG with embeddings/vector search, and create ETL/data models to support analytics and AI workloads. Partner across engineering and business teams with an emphasis on testing, CI/CD, observability, and AI governance.

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FursaFursa
Ingersoll Rand
Ingersoll Rand
2 months ago

Senior AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Design and deliver generative AI and data products that power AI assistants for sales and technical support workflows. Build LLM-based systems using Snowflake, Cortex AI, Vertex AI, and cloud-native platforms, bridging prototypes to production-ready solutions. Develop web-based AI applications and backend services in Python, implement RAG with embeddings/vector search, and create ETL/data models to support analytics and AI workloads. Partner across engineering and business teams with an emphasis on testing, CI/CD, observability, and AI governance.
Location: Mexico
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and deploy LLM-powered AI assistants for sales and technical support use cases.
  • •Implement retrieval-augmented generation (RAG) using embeddings, vector search, and enterprise data.
  • •Develop generative AI solutions using Snowflake Cortex AI, Vertex AI, and external LLM APIs.
  • •Design and develop web-based AI applications, building backend services and features in Python with reliable testing and deployment.
  • •Process and analyze datasets with Snowflake, design ETL pipelines and data models, and support governed, production-ready deployments.

Key Requirements

  • •Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field.
  • •5+ years of experience in AI engineering, data science, or machine learning.
  • •Strong proficiency in Python and SQL.
  • •Hands-on experience with LLMs and generative AI systems.
  • •Experience with Snowflake and cloud platforms.
Experience:5+ yearsMachine learningData science
Education:Bachelor's in Data Science, Computer Science, or a related field
Skills:CommunicationProblem-solving
Tech Stack:PythonSQLSnowflakeCortex AIVertex AILLMGenerative AICloud-native platformsRetrieval-augmented generation (RAG)EmbeddingsVector searchVector databasesETLCI/CDObservabilityQlikUnit testsIntegration testsMLOpsAPI

Company Brief

Ingersoll Rand
Designs, manufactures, and services industrial equipment and technologies including air compressors, power tools, fluid management systems, and downstream industrial solutions for manufacturing, construction, and commercial customers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Davidson, United States
Founded: 1871
WebsiteLinkedIn