AI Engr II

Honeywell
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Debugging","Self-correction","Governance","Monitoring","Mentoring"]

Design, build, and deploy production-grade Generative AI and agentic AI solutions for enterprise applications. Develop autonomous and semi-autonomous agents with reasoning, planning, tool use, and multi-agent collaboration, including RAG pipelines with vector databases and embeddings. Create multi-step reasoning workflows and memory architectures for persistent context, and implement self-correcting, failure-recovery, and Human-in-the-Loop controls. Deploy across cloud, hybrid, and on-premises with monitoring, testing, and governance.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Honeywell
Honeywell
1 day ago

AI Engr II

✓ Verified Job

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

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

Job Summary

Design, build, and deploy production-grade Generative AI and agentic AI solutions for enterprise applications. Develop autonomous and semi-autonomous agents with reasoning, planning, tool use, and multi-agent collaboration, including RAG pipelines with vector databases and embeddings. Create multi-step reasoning workflows and memory architectures for persistent context, and implement self-correcting, failure-recovery, and Human-in-the-Loop controls. Deploy across cloud, hybrid, and on-premises with monitoring, testing, 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 needs.
  • •Build autonomous and semi-autonomous AI agents that reason, plan, use tools, and collaborate with other agents.
  • •Develop advanced RAG pipelines using vector databases, embeddings, and enterprise data sources.
  • •Design multi-step reasoning workflows and implement short- and long-term memory architectures for persistent contextual interactions.
  • •Integrate LLMs/VLMs, enterprise APIs, databases, and external tools; ensure production readiness with monitoring, testing, performance optimization, governance, and Human-in-the-Loop controls.

Key Requirements

  • •3-6 years of experience.
  • •Strong proficiency in Python and experience designing enterprise-grade software solutions.
  • •Hands-on experience building agent orchestration frameworks such as LangGraph or OpenAI Agents SDK.
  • •Deep understanding of agentic design patterns including reflection, tool use, planning, and multi-agent collaboration.
  • •Experience deploying Generative AI solutions across on-premises, hybrid architectures, and at least one of Azure, AWS, or GCP.
Experience:Generative AIAgentic AIEnterprise softwareRAG
Skills:DebuggingSelf-correctionGovernanceMonitoringMentoring
Tech Stack:PythonLangGraphOpenAI Agents SDKVector databasesEmbeddingsRAGLLMsVLMsFunction callingStructured outputsPrompt engineeringContext window managementSelf-healing workflowsHuman-in-the-Loop (HITL)Microsoft AzureAWSGoogle Cloud Platform (GCP)Decision TreesNeural NetworksSupport Vector Machines (SVM)

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
WebsiteLinkedInGlassdoor