AI Software Engineer (Python)

Title: AI Software Engineer (Python)
Location: Fremont, California
Duration: 6-12+ mos CTH

What to Expect

Our Client service software team powers intelligent systems across insurance claims systems, internal service tool, customer service, global operations, and innovative features like autonomous agents for sustainable energy solutions. You will collaborate with some of the most brilliant engineers globally, engaging in cutting-edge AI development to create responsive agents that enhance user experiences across various modalities, including voice, text, and more.

The team is seeking a 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.

What You'll Do

• 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

What You'll Bring

• Having 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