Python Engineer - AI Customer Claims & Support
Onsite in Fremont CA
Software Engineer proficient in Python and AI technologies to join and work on building advanced AI agents for applications such as automated customer support knowledge-driven decision-making and intelligent workflows. The engineer will collaborate with skilled software engineers data scientists product managers and end-users to turn visionary AI concepts into reality.
RESPONSIBILITIES:
- Design and build secure intuitive and efficient AI agents across multiple modalities (e.g. voice text or multi-modal interfaces) integrating them seamlessly into our ecosystem for tasks like real-time query handling and automated workflows
- Quickly grasp new concepts in AI such as developing diverse agent interfaces and apply your knowledge to integrate with knowledge bases and transactional systems using Retrieval-Augmented Generation (RAG) techniques
- Push your first pull request (PR) with your own code to our AI platform in your first week
- Form data contracts (e.g. using protobuf or APIs) with partner teams for the pragmatic implementation of scalable AI features designed in concert with engineering product and design teams
- Own a portion of the AI agent codebase focusing on quality performance and cross-modality integration; write documentation review code from team members and ensure robust handling of edge cases like variable input types or high-latency RAG queries
- Focus on keeping processes code and tooling as safe fast and reliable as our AI systems; elevate standards across teams to enhance work experiences while delivering value to users
- Use first principles thinking to continually optimize AI processes and practices such as refining RAG pipelines for faster retrieval and better accuracy ultimately providing superior experiences for customers and accelerating sustainable energy transitions
QUALIFICATIONS:
- Having 2-3 years with python
- Experience in shipping secure scalable AI applications with a focus on agent-based systems across modalities (e.g. voice integration using libraries like liveKit various STT & TTS providers text-based agents or multi-modal setups)
- Sound knowledge and hands-on experience with Python for AI development including building and integrating RAG systems (e.g. using LangChain FAISS or Pinecone for knowledge base retrieval)
- Excellent knowledge of modern programming languages and AI tools (Python TypeScript etc.) with experience in creating RAG pipelines integrating with transactional systems (e.g. databases like PostgreSQL or APIs for real-time data) and handling diverse data processing needs
- Professional or personal experience building products in domains like AI agents natural language processing (NLP) voice assistants knowledge management systems or multi-modal AI is a plus
- Passion for our mission of accelerating the worlds transition to sustainable energy with a drive to innovate in AI for real-world impact
Python Engineer - AI Customer Claims & Support Onsite in Fremont CA Software Engineer proficient in Python and AI technologies to join and work on building advanced AI agents for applications such as automated customer support knowledge-driven decision-making and intelligent workflows. The engineer...
Python Engineer - AI Customer Claims & Support
Onsite in Fremont CA
Software Engineer proficient in Python and AI technologies to join and work on building advanced AI agents for applications such as automated customer support knowledge-driven decision-making and intelligent workflows. The engineer will collaborate with skilled software engineers data scientists product managers and end-users to turn visionary AI concepts into reality.
RESPONSIBILITIES:
- Design and build secure intuitive and efficient AI agents across multiple modalities (e.g. voice text or multi-modal interfaces) integrating them seamlessly into our ecosystem for tasks like real-time query handling and automated workflows
- Quickly grasp new concepts in AI such as developing diverse agent interfaces and apply your knowledge to integrate with knowledge bases and transactional systems using Retrieval-Augmented Generation (RAG) techniques
- Push your first pull request (PR) with your own code to our AI platform in your first week
- Form data contracts (e.g. using protobuf or APIs) with partner teams for the pragmatic implementation of scalable AI features designed in concert with engineering product and design teams
- Own a portion of the AI agent codebase focusing on quality performance and cross-modality integration; write documentation review code from team members and ensure robust handling of edge cases like variable input types or high-latency RAG queries
- Focus on keeping processes code and tooling as safe fast and reliable as our AI systems; elevate standards across teams to enhance work experiences while delivering value to users
- Use first principles thinking to continually optimize AI processes and practices such as refining RAG pipelines for faster retrieval and better accuracy ultimately providing superior experiences for customers and accelerating sustainable energy transitions
QUALIFICATIONS:
- Having 2-3 years with python
- Experience in shipping secure scalable AI applications with a focus on agent-based systems across modalities (e.g. voice integration using libraries like liveKit various STT & TTS providers text-based agents or multi-modal setups)
- Sound knowledge and hands-on experience with Python for AI development including building and integrating RAG systems (e.g. using LangChain FAISS or Pinecone for knowledge base retrieval)
- Excellent knowledge of modern programming languages and AI tools (Python TypeScript etc.) with experience in creating RAG pipelines integrating with transactional systems (e.g. databases like PostgreSQL or APIs for real-time data) and handling diverse data processing needs
- Professional or personal experience building products in domains like AI agents natural language processing (NLP) voice assistants knowledge management systems or multi-modal AI is a plus
- Passion for our mission of accelerating the worlds transition to sustainable energy with a drive to innovate in AI for real-world impact
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