Highlights
Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities. Evaluate and deploy appropriate LLMs based on specific needs—balancing accuracy, latency, cost, and user experience.
Numbers & Facts
| Location | San Diego, CA |
| Industry | Staffing/Employment Agencies |
| Salary | $90–$100 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | http://www.lancesoft.com/ |
Description
Job 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
Qualifications:
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
- 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
About Company
We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.