Honeywell

Senior AI Software Developer

Honeywell

full-time

Posted on:

Location Type: Hybrid

Location: Phoenix • Arizona • North Carolina • United States

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Job Level

Senior

Tech Stack

AWSDistributed SystemsDynamoDBJavaMicroservicesPythonSQLTypeScript

About the role

  • **KEY RESPONSIBILITIES**
  • - Design and develop **AI application services and middleware** that connect classic ML models, GenAI/LLM systems, and agentic AI components to enterprise applications and workflows.
  • - Build production‑grade **RAG (Retrieval-Augmented Generation) services**, including chunking pipelines, embedding APIs, retrieval endpoints, caching, re-ranking, and content policy enforcement.
  • - Develop **agent tool adapters** and integration layers enabling AI agents to safely perform actions (e.g., Snowflake queries, workflow triggers, system updates) using secure, controlled APIs.
  • - Implement **policy, safety, and guardrail middleware** that enforces PII protection, content moderation, compliance rules, and safe function execution for agentic systems.
  • - Create event‑driven and asynchronous services using AWS-native capabilities for **agent orchestration**, callbacks, monitoring, and workflow routing.
  • - Build microservices and SDKs that enable scalable, low‑latency interactions between AI models, vector databases, and enterprise systems.
  • - Collaborate with AI Architects, Platform Engineers, MLOps, Data Engineers, and Data Scientists to ensure systems are reliable, secure, observable, and aligned with best practices.
  • - Implement robust testing frameworks for AI-driven services including regression tests, guardrail tests, prompt and agent behavior evaluations, and functional correctness checks.
  • - Participate in code reviews, architectural discussions, and continuous improvement initiatives to enhance the performance and reliability of AI-powered applications.

Requirements

  • **YOU MUST HAVE**
  • - 5 or more years of experience in software development, ideally building backend, middleware, or distributed systems.
  • - Strong proficiency in Python or Java/TypeScript, with hands-on experience building REST APIs, event-driven services, and microservices.
  • - Experience working with **AI/ML application patterns**, including RAG, vector stores, prompt orchestration, and model/LLM integration.
  • - Practical experience deploying applications on **AWS** using services such as Lambda, API Gateway, ECS/EKS, Step Functions, SQS/SNS, or DynamoDB.
  • - Familiarity with **Databricks** (Delta Lake, SQL Warehouses, Model Serving, Vector Search) and integration patterns for data access and processing.
  • - Experience building data or AI workflows that interact with **Snowflake**, including secure queries, role-based access, and performance optimization.
  • - Experience working with **Dataiku APIs or automation** for data workflows, scoring endpoints, or integration into AI services.
  • - Strong understanding of API design, authentication/authorization, secure coding practices, and system observability.
  • - Ability to collaborate in an agile, cross-functional environment with platform engineering, MLOps, data engineering, and data science teams.
  • **WE VALUE**
  • - Experience building integrations for **agentic AI systems**, including tool registries, function-calling logic, multi-step planning support, memory stores, and safety guardrails.
  • - Experience with vector databases and retrieval frameworks (Databricks Vector Search, OpenSearch, Pinecone, Milvus).
  • - Knowledge of LLM/GenAI concepts (prompt engineering, orchestration, multi-turn conversation flows, caching strategies, re-ranking).
  • - Familiarity with CI/CD practices for AI services and collaboration with MLOps (MLflow, evaluation pipelines, quality gates).
  • - Experience building observability into AI services—tracing, metrics, logs, alerting, and model/agent behavior monitoring.
  • - Strong problem solving skills with an eye toward performance, scalability, and maintainability.
  • - Curiosity, adaptability, and a passion for applying emerging AI technologies responsibly and effectively.
  • **U.S. PERSON REQUIREMENTS **
  • Due to compliance with US export control laws and regulations, candidate must be a US Person, which is defined as, US citizen, a US permanent resident, or have protected status in the US under asylum or refugee status.
Benefits
  • **BENEFITS OF WORKING FOR HONEYWELL**
  • In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaTypeScriptREST APIsevent-driven servicesmicroservicesAI/ML application patternsRAGAWSDatabricks
Soft Skills
collaborationproblem solvingadaptabilitycuriosity