Advanced Software Engr
Honeywell · Bangalore
Collected role description
Role overview
Advanced Software Engr at Honeywell
Responsibilities
- You will collaborate with product teams, architects, data scientists, and business stakeholders to build intelligent solutions that drive automation, productivity, and innovation across Honeywell products and platforms.
- Design, develop, and maintain scalable AI applications using Python.
- Develop RAG-based systems using vector databases and semantic search techniques.
- Design and implement REST APIs and microservices.
- Collaborate with Data Science teams for model training, fine-tuning, evaluation, and deployment.
- Ensure AI solutions comply with security, governance, and responsible AI guidelines.
- Drive best practices for software engineering, code quality, testing, and observability.
Preferred qualifications and skills
- Experience with Azure OpenAI Services.
- Knowledge of MLOps tools such as MLflow, Kubeflow, SageMaker, or Azure ML.
- Experience with AI Agent frameworks and autonomous workflows.
- Exposure to Industrial Automation, IoT, Manufacturing Analytics, or Connected Products domains.
- Understanding of AI evaluation, observability, guardrails, and governance frameworks.
- Experience with Semantic Search, Graph RAG, and Knowledge Graphs.
Employment details
- Location: Bengaluru [Karnataka] [India]
About the employer
- Honeywell is seeking an experienced Advanced Software Engineer (Python AI/GenAI) to design, develop, and deploy enterprise-scale AI-powered applications.
- As an Advanced Software Engineer here at Honeywell, you will lead advanced software development projects, enhance and maintain critical software components, and troubleshoot complex issues.
Additional role details
- The ideal candidate should possess strong expertise in Python development, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud-native architectures.
- Your expertise will optimize software performance and drive innovation.You will report directly to our Manager and you’ll work out of our Bangalore,Karnataka location on a Hybrid work schedule.
- Build and deploy Generative AI solutions leveraging LLMs such as GPT, Llama, Claude, and Azure OpenAI.
- Create AI agents and multi-agent workflows using LangChain, LangGraph, CrewAI, or similar frameworks.
- Integrate AI models with enterprise applications and cloud platforms.
- Build CI/CD pipelines and automate model deployment workflows.
- Mentor junior engineers and participate in architecture reviews and technical leadership activities.
- Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related discipline. 6–9 years of software development experience.
- Strong programming expertise in Python.
- Hands-on experience with FastAPI, Flask, or Django.
- Experience with Machine Learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of LLMs, Prompt Engineering, Fine-Tuning, Embeddings, and RAG architectures.
- Experience with LangChain, LlamaIndex, LangGraph, or equivalent AI frameworks.
- Knowledge of vector databases such as Pinecone, Milvus, FAISS, ChromaDB, or Weaviate.
- Experience with PostgreSQL, MySQL, MongoDB, or other databases.
- Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.
- Experience working on Azure, AWS, or GCP cloud platforms.
- Strong understanding of microservices architecture and API development.
Collected minimum qualification
Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related discipline. 6–9 years of software development experience. Strong programming expertise in Python. Hands-on experience with FastAPI, Flask, or Django. Experience with Machine Learning frameworks such as PyTorch or TensorFlow. Strong understanding of LLMs, Prompt Engineering, Fine-Tuning, Embeddings, and RAG architectures. Experience with LangChain, LlamaIndex, LangGraph, or equivalent AI frameworks. Knowledge of vector databases such as Pinecone, Milvus, FAISS, ChromaDB, or Weaviate. Experience with PostgreSQL, MySQL, MongoDB, or other databases. Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines. Experience working on Azure, AWS, or GCP cloud platforms. Strong understanding of microservices architecture and API development. Preferred Qualifications Experience with Azure OpenAI Services. Knowledge of MLOps tools such as MLflow, Kubeflow, SageMaker, or Azure ML. Experience with AI Agent frameworks and autonomous workflows. Exposure to Industrial Automation, IoT, Manufacturing Analytics, or Connected Products domains. Understanding of AI evaluation, observability, guardrails, and governance frameworks. Experience with Semantic Search, Graph RAG, and Knowledge Graphs.
Collected experience requirement
6-9 years