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

Requirements:

• 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

Why Should You Apply?

• Health Benefits


• Referral Program


• Excellent growth and advancement opportunities

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