Senior AI Solutions Developer
USD 153K-200K (estimate) Senior-level Full Time
Tasks
- Architect and implement LLM pipelines
- Build RAG retrieval augmented generation systems
- Build data pipelines for AI components
- Conduct code reviews and mentor developers
- Configure shared prompt libraries and agent configs
- Create STRIDE threat models
- Create structured output with LLMs
- Develop REST APIs for AI services
- Enforce OWASP secure coding for LLM applications
- Evaluate AI solution effectiveness and optimize performance
- Implement tool use and agentic workflows
- Lead AI preimplementation review
- Perform OWASP LLM Top 10 red team testing
- Provide AI implementation support and troubleshooting
- Validate message contracts for AI integrations
- Write technical documentation for AI systems
Perks/Benefits
Skills/Tech-stack
AWS | AWS Lambda | AWS Textract | Agent systems | Amazon Bedrock | Amazon S3 | Amazon SNS | Amazon SQS | Amazon SageMaker | Code review | Computer Vision | Cybersecurity | Embeddings | FastAPI | LLM API | LLM Top 10 | Language Models | Language Processing | Large Language Models | Machine Learning | Message Queues | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | OCR | OWASP ASVS | OWASP LLM | OWASP LLM Top 10 | PGVector | Pdfplumber | Pinecone | Prompt engineering | PyMuPDF | Python | RAG | REST APIs | STRIDE | Secure Coding | Structured outputs | Threat modeling | Tool use | Top 10 | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Solutions | AI Solutions Developer | Developer | Engineer | Software Engineer | Solutions Developer
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