Honeywell

1 month ago

Software Engr II

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Join Honeywell as a Full Stack AI Platform Engineer building and scaling enterprise AI/ML platforms across cloud and edge environments. Design, develop, and deploy AI workflows, data pipelines, and model serving APIs; collaborate with cross-functional teams; ship production-grade infrastructure for billions of IoT events and edge deployments.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Develop high-performance, production-ready Python APIs using FastAPI for on-device model inference.
•Design, build, and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model deployment, serving and experiment tracking.
•Build robust CI/CD stacks to automate testing and deployment of API services to edge devices.
•Implement ML orchestration workflows using LangGraph, MLflow, and multi-agent AI systems.
•Develop and integrate AI workloads using ML-Ops and tracing tools like LangSmith.

Key Requirements

•Bachelor's degree in a technical field (STEM).
•3+ years experience in software engineering, data engineering, or ML platform engineering.
•Strong proficiency in Python and at least one systems language (Python, Go, Rust, C++).
•Deep hands-on experience with cloud-native data platforms (Databricks, BigQuery, Azure Data Lake, Kubernetes).
•Production experience building and deploying ML/AI pipelines including model serving, feature engineering, and experiment tracking.

Experience:3+ yearsAIIoTEdge computingData engineering

Education:Bachelor's

Skills:PythonFastAPILangChainLangSmithMLflowAzureDatabricksKubernetesEdge AINVIDIA JetsonKnowledge graphsOntology engineering

Languages:English

Tech Stack:PythonFastAPILangChainLangSmithMLflowAzureDatabricksBigQueryKubernetesNVIDIA JetsonEdge AI

Company Brief

Honeywell

Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.

Industry: Conglomerates & Holding Companies

Company Size: Enterprise (1,001+ employees)

Revenue: USD 25B to 50B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Charlotte, United States

Founded: 1906

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Honeywell

1 month ago

Software Engr II

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Develop high-performance, production-ready Python APIs using FastAPI for on-device model inference.
•Design, build, and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model deployment, serving and experiment tracking.
•Build robust CI/CD stacks to automate testing and deployment of API services to edge devices.
•Implement ML orchestration workflows using LangGraph, MLflow, and multi-agent AI systems.
•Develop and integrate AI workloads using ML-Ops and tracing tools like LangSmith.

Key Requirements

•Bachelor's degree in a technical field (STEM).
•3+ years experience in software engineering, data engineering, or ML platform engineering.
•Strong proficiency in Python and at least one systems language (Python, Go, Rust, C++).
•Deep hands-on experience with cloud-native data platforms (Databricks, BigQuery, Azure Data Lake, Kubernetes).
•Production experience building and deploying ML/AI pipelines including model serving, feature engineering, and experiment tracking.

Experience:3+ yearsAIIoTEdge computingData engineering

Education:Bachelor's

Skills:PythonFastAPILangChainLangSmithMLflowAzureDatabricksKubernetesEdge AINVIDIA JetsonKnowledge graphsOntology engineering

Languages:English

Tech Stack:PythonFastAPILangChainLangSmithMLflowAzureDatabricksBigQueryKubernetesNVIDIA JetsonEdge AI

Company Brief

Honeywell

Industry: Conglomerates & Holding Companies

Company Size: Enterprise (1,001+ employees)

Revenue: USD 25B to 50B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Charlotte, United States

Founded: 1906

Glassdoor: 3.8

Website LinkedIn Glassdoor