Software Engr II

Honeywell
Hyderabad
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Collaboration","Mentoring","Communication"]

Design and develop production-grade generative and agentic AI applications for enterprise workflows. Build autonomous agents with reasoning, planning, tool use, and multi-agent collaboration, including RAG pipelines with vector databases and enterprise data retrieval. Implement reliable AI workflows with memory, self-correction, HITL controls, monitoring, testing, and governance. Deploy across cloud, hybrid, and on-prem environments while partnering with product and engineering teams to turn requirements into scalable solutions.

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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: 3 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Design and develop production-grade generative and agentic AI applications for enterprise workflows. Build autonomous agents with reasoning, planning, tool use, and multi-agent collaboration, including RAG pipelines with vector databases and enterprise data retrieval. Implement reliable AI workflows with memory, self-correction, HITL controls, monitoring, testing, and governance. Deploy across cloud, hybrid, and on-prem environments while partnering with product and engineering teams to turn requirements into scalable solutions.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

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

Key Requirements

  • •Strong proficiency in Python and experience designing and implementing enterprise-grade software solutions.
  • •Familiarity with software engineering best practices, version control, testing, and CI/CD pipelines.
  • •Hands-on production experience with agent orchestration frameworks such as LangGraph, OpenAI Agents SDK, or equivalent.
  • •Deep understanding of agentic design patterns including reflection, tool use, planning, and multi-agent collaboration; practical experience with function calling, structured outputs, and prompt engineering.
  • •Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline.
Education:Bachelor's in computer science, Artificial Intelligence, Artificial Intelligence, Machine Learning, Data Science
Skills:CollaborationMentoringCommunication
Tech Stack:PythonLangGraphOpenAI Agents SDKLarge Language Models (LLMs)Vision Language Models (VLMs)EmbeddingsVector databasesSemantic searchRetrieval-Augmented Generation (RAG)Function callingStructured outputsPrompt engineeringContext window managementSelf-healing workflowsAutomated debuggingHuman-in-the-Loop (HITL)Microsoft AzureAWSGoogle Cloud Platform (GCP)Docker

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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