Software Engineer

Our Client, an AV Manufacturing company, is looking for a Software Engineer for their San Diego, CA location.


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

• 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
• 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

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities