Role: Backend AI Engineer (Python / AWS / GenAI)
Location: Remote Must be commutable to any Fed headquarters or branch office (San Francisco CA; Chicago IL; NYC NY; Richmond VA; Kansas City MO; Cleveland OH; Charlotte NC; Dallas TX)
Duration: 12 months w/ possible extension
Type of Employment: W2 Contract
Job Summary:
We are seeking a Backend AI Engineer to design and build scalable AI/ML and Generative AI systems. This role focuses on developing APIs backend services and MLOps pipelines using Python AWS and modern data platforms.
Key Responsibilities:
- Develop REST/GraphQL APIs and backend services for AI/ML applications
- Build and support LLM-based systems (RAG document processing knowledge bases)
- Integrate AWS AI services (SageMaker Bedrock Lambda API Gateway)
- Implement MLOps pipelines model deployment and monitoring
- Design scalable event-driven architectures and optimize performance
Required Skills:
- 4 years of backend development experience
- Strong Python (FastAPI Flask or Django)
- Experience with LLMs RAG architectures and AI service integration
- Hands-on experience with AWS cloud services
- Experience with APIs microservices and event-driven systems
Preferred:
- Experience with Databricks PySpark Docker CI/CD
- Knowledge of vector databases and MLOps tools
Role: Backend AI Engineer (Python / AWS / GenAI) Location: Remote Must be commutable to any Fed headquarters or branch office (San Francisco CA; Chicago IL; NYC NY; Richmond VA; Kansas City MO; Cleveland OH; Charlotte NC; Dallas TX) Duration: 12 months w/ possible extension Type of Employment: W...
Role: Backend AI Engineer (Python / AWS / GenAI)
Location: Remote Must be commutable to any Fed headquarters or branch office (San Francisco CA; Chicago IL; NYC NY; Richmond VA; Kansas City MO; Cleveland OH; Charlotte NC; Dallas TX)
Duration: 12 months w/ possible extension
Type of Employment: W2 Contract
Job Summary:
We are seeking a Backend AI Engineer to design and build scalable AI/ML and Generative AI systems. This role focuses on developing APIs backend services and MLOps pipelines using Python AWS and modern data platforms.
Key Responsibilities:
- Develop REST/GraphQL APIs and backend services for AI/ML applications
- Build and support LLM-based systems (RAG document processing knowledge bases)
- Integrate AWS AI services (SageMaker Bedrock Lambda API Gateway)
- Implement MLOps pipelines model deployment and monitoring
- Design scalable event-driven architectures and optimize performance
Required Skills:
- 4 years of backend development experience
- Strong Python (FastAPI Flask or Django)
- Experience with LLMs RAG architectures and AI service integration
- Hands-on experience with AWS cloud services
- Experience with APIs microservices and event-driven systems
Preferred:
- Experience with Databricks PySpark Docker CI/CD
- Knowledge of vector databases and MLOps tools
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