Job Description
Job DescriptionJob Title: Software Engineer
Job Duration: 6+ months
Pay rate: $95-$105 USD per hour
Work Type: Onsite in office (San Diego, CA)
Onsite in San Diego, 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