About The Role Software Engineer

Onsite in Foster City, CA | 5 days in office

Core Responsibilities

• Design and develop AI agents and autonomous systems capable of complex task execution and

decision-making

• Build conversational AI solutions including chatbots and voice-based customer service systems
• Create AI-powered application integrations across platforms and services
• Develop and optimize Retrieval-Augmented Generation (RAG) systems for enhanced AI application

performance

• Implement and optimize machine learning models using PyTorch
• Evaluate and deploy appropriate LLMs based on specific needs—balancing accuracy, latency, cost, and

user experience

• Collaborate with cross-functional teams to translate business requirements into technical AI solutions
• Architect and maintain production-grade AI solutions with focus on scalability, reliability, and performance

Qualifications

• 6 years Proficiency in Python for AI/ML development
• 6 years Experience with PyTorch (or willingness to learn for entry-level candidates)
• Understanding of AI agents and their application to real-world problems
• Hands-on experience or strong interest in building chatbots and/or voice-based conversational systems
• Knowledge of RAG system components: vector databases, embeddings, retrieval strategies, and prompt

engineering

• Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their

trade-offs in terms of performance, cost, latency, and capabilities

• Understanding of transformer neural network architecture and attention mechanisms
• 6 years Experience integrating AI capabilities into applications or eagerness to learn application

development

Bonus Qualifications

• Proficiency in Kotlin programming
• Full-stack development experience with both backend and frontend technologies
• Cloud software development experience, especially microservices architecture and integration
• Experience with REST APIs, gRPC, and/or Kafka for service communication and event-driven

architectures

• Knowledge of cloud platforms (AWS, GCP, Azure) for AI deployment
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience with AI frameworks like LangChain, LlamaIndex, AutoGen, or similar tools
• Understanding of CI/CD pipelines and DevOps practices

Key Responsibilities & Skills

• AI Agent Design & Development
• Autonomous Systems Engineering
• Conversational AI Development (Chatbots & Voice Assistants)
• Retrieval-Augmented Generation (RAG) Engineering
• Large Language Model (LLM) Evaluation & Deployment
• Production-Grade AI Architecture (Scalability & Reliability)
• AI Integration into Applications
• Cross-Functional AI Solution Delivery

Technical Skills

• Python / PyTorch
• Kotlin
• Full-Stack Development (Backend & Frontend)
• AWS / GCP / Azure
• Microservices Architecture
• REST APIs / gRPC / Kafka
• Docker / Kubernetes
• LangChain / LlamaIndex / AutoGen
• CI/CD Pipelines / DevOps

Education

Bachelor’s Degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, Artificial Intelligence. Preferred: Master’s in Computer Science, Master’s in Artificial Intelligence, Master’s in Machine Learning, PhD in Computer Science, PhD in Machine Learning.

Industry Experience

• Technology / Software
• Artificial Intelligence / Machine Learning
• Cloud Services
• Conversational AI
• Enterprise SaaS

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