Software Engr II

Honeywell
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Leadership","Problem-solving","Attention to detail"]

Build and scale an enterprise AI/ML platform spanning multi-cloud model deployment, serving, experiment tracking, and CI/CD for inference automation. Develop FastAPI-based Python APIs for on-device inference, including data processing pipelines, ML orchestration for multi-agent systems, and ML-Ops/observability. Own reliability for AI services, optimize costs, and deploy containerized models to edge devices (including Azure IoT Edge and NVIDIA Jetson), supported by knowledge/RAG services.

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FursaFursa
Honeywell
Honeywell
1 day ago

Software Engr II

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 day agoStatus: Live

Job Summary

Build and scale an enterprise AI/ML platform spanning multi-cloud model deployment, serving, experiment tracking, and CI/CD for inference automation. Develop FastAPI-based Python APIs for on-device inference, including data processing pipelines, ML orchestration for multi-agent systems, and ML-Ops/observability. Own reliability for AI services, optimize costs, and deploy containerized models to edge devices (including Azure IoT Edge and NVIDIA Jetson), supported by knowledge/RAG services.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop production-ready Python APIs with FastAPI for on-device model inference, including automated data processing pipelines for real-time sensor/image inputs.
  • •Design and maintain AI/ML platform services across multi-cloud infrastructure for model deployment, serving, and experiment tracking.
  • •Implement ML orchestration workflows using LangGraph, MLflow, and custom orchestration layers for multi-agent AI systems, including ML-Ops and tracing with LangSmith.
  • •Build robust CI/CD to test inference logic and deploy API services to edge devices, converting experimental code into modular, maintainable Python packages.
  • •Own platform reliability for AI services: observability, monitoring/alerting, cost optimization, and lifecycle management using Azure Machine Learning Studio.

Key Requirements

  • •Bachelor's degree in a technical discipline (science, technology, engineering, mathematics).
  • •3+ years of experience in software engineering, data engineering, or ML platform engineering.
  • •Strong proficiency in Python and at least one systems language (Python, Go, Rust, C++).
  • •Hands-on experience with cloud-native data platforms (Databricks, BigQuery, Azure Data Lake, Kubernetes) and production ML/AI pipelines for model serving and experiment tracking.
  • •Experience with LLM/agentic frameworks such as LangChain/LangGraph/Langsmith and edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms.
Experience:3+ yearsIoTEdge AILLM applicationsRAGMulti-cloud
Education:Bachelor's
Skills:LeadershipProblem-solvingAttention to detail
Languages:US
Tech Stack:PythonFastAPILangGraphLangChainMLflowLangSmithML-OpsAzure IoT EdgeAzure Machine Learning StudioDatabricksBigQueryAzure Data LakeKubernetesReactNVIDIA JetsonGoRustC++Azure

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
Glassdoor: 3.8
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