Backend Software Developer

Title: Backend Software Developer - Applied AILocation: Fremont, CADuration: 12+ MosSummaryOur direct client is searching for a Backend Software developer for their service software development team to design, build, and deploy cutting-edge AI solutions that leverage large language models (LLMs) and Python, driving improvements across our service and customer support platforms. Play a key role in developing backend APIs using .NET, ensuring our applications remain scalable and resilient. Tackle complex, undefined challenges by harnessing LLMs and advanced AI technologies to deliver practical, scalable results. Work hand-in-hand with teams in vehicle service, energy operations, and customer support to solve mission-critical operational issues. Take full responsibility for AI-powered solutions and APIs in production, implementing comprehensive monitoring and alerting to maintain high system reliability. Engage with a variety of data formats including text, audio, and structured data to create impactful, user-centric solutions.Key ResponsibilitiesDevelop and deploy AI solutions using LLMs to solve real-world operational and customer support challenges.Design and implement scalable backend APIs using .NET to support AI-driven applications and services.Write high-quality, maintainable Python code for data processing, model integration, and application development.Collaborate with cross-functional teams to understand requirements and deliver tailored AI and backend solutions.Implement monitoring and alerting mechanisms to ensure the reliability of production systems, including APIs and AI models.Process and integrate diverse datasets (e.g., text, voice, tabular) to support AI applications.Contribute to sustainable, modular codebases in both Python and .NET to streamline development and deployment.Minimum RequirementsStrong proficiency in Python for building scalable, data-driven applications.Experience developing backend APIs using .NET (e.g., ASP.NET Core) for robust, production-ready services.Practical experience working with large language models (LLMs) or similar AI technologies for applied use cases.Familiarity with at least one modern AI framework (e.g., PyTorch, TensorFlow, Hugging Face Transformers).Experience deploying and maintaining AI solutions and APIs in production environments.Basic understanding of statistics to evaluate solution performance and feasibility.Passion for writing clean, modular, and sustainable code in both Python and .NET to support rapid development and deployment.Ability to work with diverse datasets, including text, voice, and tabular data.TitleLocation:DurationSUMMARY:RESPONSIBILITIES;