oracle
Advanced Software Engr
Honeywell
Bengaluru, IND
Full-time
Senior · 6–9 years experience
Discovered 2 weeks ago
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About the Role
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. 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.
Key Skills for This Role
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Responsibilities
- Design, develop, and maintain scalable AI applications using Python.
- Build and deploy Generative AI solutions leveraging LLMs such as GPT, Llama, Claude, and Azure OpenAI.
- Develop RAG-based systems using vector databases and semantic search techniques.
- Create AI agents and multi-agent workflows using LangChain, LangGraph, CrewAI, or similar frameworks.
- Design and implement REST APIs and microservices.
- Integrate AI models with enterprise applications and cloud platforms.
- Collaborate with Data Science teams for model training, fine-tuning, evaluation, and deployment.
- Build CI/CD pipelines and automate model deployment workflows.
- Ensure AI solutions comply with security, governance, and responsible AI guidelines.
- Mentor junior engineers and participate in architecture reviews and technical leadership activities.
- Drive best practices for software engineering, code quality, testing, and observability.
- - Design, develop, and maintain scalable AI applications using Python. - Build and deploy Generative AI solutions leveraging LLMs such as GPT, Llama, Claude, and Azure OpenAI. - Develop RAG-based systems using vector databases and semantic search techniques. - Create AI agents and multi-agent workflows using LangChain, LangGraph, CrewAI, or similar frameworks. - Design and implement REST APIs and microservices. - Integrate AI models with enterprise applications and cloud platforms. - Collaborate with Data Science teams for model training, fine-tuning, evaluation, and deployment. - Build CI/CD pipelines and automate model deployment workflows. - Ensure AI solutions comply with security, governance, and responsible AI guidelines. - Mentor junior engineers and participate in architecture reviews and technical leadership activities. - Drive best practices for software engineering, code quality, testing, and observability.
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