AI Engr II

Honeywell is hiring for the role of  AI Engr II!

Responsibilities of the Candidate:

• Design and develop production-grade Generative AI and Agentic AI applications.
• Build autonomous and semi-autonomous AI agents that can reason, plan, use tools, and collaborate with other agents.
• Develop advanced RAG pipelines leveraging vector databases, embeddings, and enterprise data sources.
• Create multi-step reasoning workflows combining deterministic business logic with LLM-generated reasoning.
• Implement short-term and long-term memory architectures for persistent contextual interactions.
• Design and maintain resilient AI workflows incorporating self-correction, failure recovery, debugging loops, and Human-in-the-Loop (HITL) controls.
• Integrate LLMs, VLMs, enterprise APIs, databases, and external tools into agent ecosystems.
• Deploy and manage AI applications across cloud, hybrid, and on-premises environments.
• Collaborate with product, engineering, and domain experts to translate business requirements into scalable AI solutions.
• Ensure production readiness through monitoring, testing, performance optimization, and governance controls.

Requirements:

• Strong proficiency in Python.
• 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 foundational agentic design patterns, including:
  • Reflection
  • Tool Use
  • Planning
  • Multi-Agent Collaboration
• Proven ability to develop:
  • Self-healing workflows
  • Automated debugging mechanisms
  • Human-in-the-Loop approval processes
  • Quality assurance and audit checkpoints
• Experience applying data mining and machine learning techniques, including:
  • Classification
  • Regression
  • Clustering
  • Decision Trees
  • Neural Networks
  • Support Vector Machines (SVM)
  • Anomaly Detection
  • Recommender Systems
  • Pattern Discovery
  • Text Mining
• Knowledge of statistical modeling and predictive analytics.
• Experience delivering AI solutions in regulated enterprise environments.
• Familiarity with AI governance, security, privacy, and responsible AI practices.
• Experience building multi-agent ecosystems for operational or business workflows.
• Understanding of model evaluation, observability, and AI performance monitoring.
• Exposure to MLOps and operationalization of AI workloads.
• Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline.