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San Diego, CA (Hybrid: 3 days onsite / 2 days remote)
6-Month Contract-to-Hire (W2)
Immediate Hiring Need | Candidates able to start quickly preferred
What You’ll Do
- Design and develop intelligent AI agents and autonomous systems.
- Build scalable, cloud-native AI frameworks and services.
- Develop GenAI and agentic AI solutions from concept through production deployment.
- Partner with AI researchers, product teams, and software engineers to deliver enterprise AI capabilities.
- Create foundational components that enable reasoning, planning, memory, automation, and orchestration within AI systems.
- Contribute to cutting-edge AI initiatives focused on intelligent automation and business transformation.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 2+ years of experience in AI engineering, backend development, software engineering, or AI infrastructure.
- Strong Python development experience.
- Experience building AI/LLM applications, agents, or automation workflows.
- Hands-on experience with:
- RAG (Retrieval Augmented Generation)
- Vector databases
- Prompt engineering
- LLM integration
- AI tooling and orchestration frameworks
- Experience building backend APIs and cloud-native applications.
- Familiarity with AWS, Azure, or GCP.
- Experience with containers, CI/CD, and modern software deployment practices.
Nice to Have
- Experience with AI agents and agent-based architectures.
- Knowledge of MCP servers, graph-based memory, NLP frameworks, and AI observability.
- Experience designing agent capabilities such as memory management, context handling, identity, and governance.
- Exposure to Java, Go, or C++.
- Experience with distributed systems and large-scale production environments.
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