Senior Software Engineer (Python)Location: Sunnyvale, CA on SiteDuration: 12+ months with extensionInterview: VideoNeed Genuine LinkedIn NO RECENT OR MULTIPLE LINKEDINLooking To Add A Python EngineerLooking to add a Python engineer with 5+ years ex. in software engineering, with strong experience in backend systems, distributed systems, or cloud platforms.Hands-on experience working with Generative AI and LLM-based applications in applied or production settings.Strong coding skills in Python (preferred) and experience building production-grade backend systems.Experience building scalable microservices, APIs, and event-driven systems.What You’ll Do1. AI-Driven Software DevelopmentBuild and deploy production-ready AI-powered services using LLMs and Generative AI.Develop and enhance components for RAG pipelines, agentic workflows, and knowledge-grounded reasoning systems.Write high-quality, testable, and maintainable code with strong focus on observability, reliability, and performance.2.
System Design & Scalable EngineeringDesign and implement scalable, cloud-native services and distributed systems for AI-powered applications.Own key service-level components across APIs, microservices, data pipelines, and vector-backed retrieval systems.Work with senior engineers and architects to improve system performance, latency, scalability, and fault tolerance.3. Integration & DeliveryPartner with product, platform, and data teams to integrate AI capabilities into business applications.Build robust APIs, backend services, and middleware to support adoption of AI solutions across use cases.Deliver features with a balance of speed, maintainability, security, and operational excellence.4. Collaboration & Engineering ExcellenceContribute to technical design discussions and help drive implementation for complex feature areas.Participate actively in code reviews, design reviews, and operational improvements to raise engineering quality.Mentor junior engineers and share best practices for building AI-enabled distributed systems.What You’ll Bring5+ years of experience in software engineering, with strong experience in backend systems, distributed systems, or cloud platforms.Hands-on experience working with Generative AI and LLM-based applications in applied or production settings.Strong coding skills in Python (preferred) and experience building production-grade backend systems.Experience building scalable microservices, APIs, and event-driven systems.Familiarity with vector databases, RAG pipelines, and LLM integration patterns.Exposure to AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face is a plus; focus is on application and system integration rather than model training.Good understanding of system design fundamentals and non-functional requirements such as performance, resiliency, and reliability.Track record of delivering production-quality software with strong ownership and cross-functional collaboration.Nice To HaveExperience with cloud platforms such as Azure, GCP, or AWS.Experience with observability, monitoring, and production operations for AI-powered systems.Familiarity with security, compliance, and responsible AI considerations in enterprise environments.