Software Engineer
Tasks
- Build LLM prompt engineering RAG and agentic workflows
- Build and maintain APIs and backend services
- Build document processing pipelines with OCR and data extraction
- Design develop and deploy AI ML workflows and models
- Document processes decisions and learnings
- Integrate AI models with external systems via APIs
- Mentor junior engineers and support onboarding
- Participate in agile sprints technical design and architecture reviews
- Train, fine-tune, and evaluate ML models
- Troubleshoot and debug ML AI stack issues
- Write clean tested maintainable code and perform code reviews
Perks/Benefits
- Charity matching
- Corporate volunteering
- Dental insurance
- Medical insurance
- Paid time off
- Retirement planning
- Vision insurance
Skills/Tech-stack
AWS | Agentic Workflows | Azure | CI/CD | Cloud platform | Data Modeling | Docker | Embeddings | Google Cloud | Google Cloud Platform | GraphQL | Information Extraction | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | NoSQL | OCR | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Summarization | TensorFlow | Testing | Text Classification | Version control
Education
N/A
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