AI Developer
SSCFD - Chesapeake, United States
USD 121K-136K Senior-level Full Time
Tasks
- Add AI guardrails
- Add human in the loop checkpoints
- Apply content safety controls
- Build Retrieval-Augmented Generation solutions
- Build agentic AI applications
- Create embeddings and vector search
- Deploy AI workloads on Google Cloud Platform
- Deploy production-grade AI agents
- Develop production AI applications
- Enable audit logging
- Establish MLOps pipelines
- Evaluate vendor AI products
- Execute AI experiments for feasibility
- Handle PII in AI workflows
- Implement CI/CD for AI workloads
- Implement cost controls and rollback
- Implement hybrid search and reranking
- Implement multi-agent workflows
- Implement prompt injection defense
- Ingest enterprise data for RAG
- Integrate tools in AI agents
- Mentor junior engineers
- Monitor Agent performance in production
- Perform prompt engineering and fine-tuning
- Run proofs of concept for vendor fit
- Set up evaluation and monitoring
- Use role based access controls
- Version models and prompts
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Agentic AI | Audit Logging | CI/CD | Cloud platform | Content Safety | Embeddings | Evaluation | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Hybrid search | Injection Defense | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Model Governance | Model Monitoring | PII handling | Prompt engineering | Prompt injection | Prompt injection defense | Python | RAG | Reranking | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Master of Science
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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