Job Description
Our Client, an AV Manufacturing company, is looking for a Software Engineer for their San Diego, CA location.
Responsibilities:
Requirements:
Why Should You Apply?
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
Numbers & Facts
| Location | San Diego, CA |
| Industry | Management Consulting Services |
| Salary | $97.74–$102.74 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | https://www.iconma.com/ |
Benefits
401K, Employee Referral Program, Life Insurance
About Company
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
- Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
- Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
- Founded in 2000
- 2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.
Skills
- Amazon Web Services (AWS)unmatched
- Application Integrationunmatched
- Application Programming Interface (API)unmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Agentsunmatched
- Audiovisualunmatched
- Cloud Computingunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Conversation Engineunmatched
- Cross-Functionalunmatched
- Customer Service Systemsunmatched
- DevOpsunmatched
- Dockerunmatched
- GCP (Good Clinical Practices)unmatched
- Health Planunmatched
- Kotlinunmatched
- Machine Learningunmatched
- Manufacturingunmatched
- Microservicesunmatched
- Microsoft Windows Azureunmatched
- Multiplatform/Cross-Platformunmatched
- Network Architecture/Engineeringunmatched
- Neural Networksunmatched
- Python Programming/Scripting Languageunmatched
- REST (Representational State Transfer)unmatched
- Requirements Managementunmatched
- Software Developmentunmatched
- Software Engineeringunmatched
- User Interface/Experience (UI/UX)unmatched
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