AI Engr II

Honeywell
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3-6 yearsSkills: []

Design, build, deploy, and scale production-grade generative and agentic AI solutions for enterprise applications. Develop autonomous and semi-autonomous agents that can reason, plan, use tools, and collaborate, including RAG pipelines with vector databases and enterprise data sources. Implement multi-step reasoning workflows with memory architectures, self-correction, failure recovery, and Human-in-the-Loop controls, then ensure production readiness through monitoring, testing, performance optimization, and governance.

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FursaFursa
Honeywell
Honeywell
1 day ago

AI Engr II

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Design, build, deploy, and scale production-grade generative and agentic AI solutions for enterprise applications. Develop autonomous and semi-autonomous agents that can reason, plan, use tools, and collaborate, including RAG pipelines with vector databases and enterprise data sources. Implement multi-step reasoning workflows with memory architectures, self-correction, failure recovery, and Human-in-the-Loop controls, then ensure production readiness through monitoring, testing, performance optimization, and governance.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop production-grade generative AI and agentic AI applications for enterprise use.
  • •Build autonomous and semi-autonomous AI agents that reason, plan, use tools, and collaborate.
  • •Create advanced RAG pipelines using vector databases, embeddings, and enterprise data sources.
  • •Design and maintain resilient AI workflows with self-correction, failure recovery, debugging loops, and Human-in-the-Loop controls.
  • •Deploy and manage AI applications across cloud, hybrid, and on-premises environments while ensuring production readiness (monitoring, testing, performance optimization, governance).

Key Requirements

  • •3-6 years of experience.
  • •Strong proficiency in Python and experience designing and implementing enterprise-grade software solutions.
  • •Hands-on experience with agent orchestration frameworks such as LangGraph, OpenAI Agents SDK, or equivalent.
  • •Experience building RAG pipelines using vector databases, embeddings, and enterprise data sources.
  • •Experience deploying generative AI solutions in on-premises or hybrid/public cloud environments, including Microsoft Azure, AWS, or Google Cloud Platform (GCP).
Experience:3-6 yearsEnterprise softwareGenerative AIAgentic AI
Tech Stack:PythonLangGraphOpenAI Agents SDKVector databasesEmbeddingsRAGLarge Language Models (LLMs)Vision Language Models (VLMs)Function callingStructured outputsPrompt engineeringContext window managementHuman-in-the-Loop (HITL)Microsoft AzureAWSGoogle Cloud Platform (GCP)On-premisesHybrid architecturesSelf-healing workflowsAutomated debugging

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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