AI Engineer
Tasks
- Architect multi-tenant SaaS solutions
- Build RAG pipelines
- Build data pipelines ETL workflows and real time processing
- Collaborate on AI-driven product features
- Create intelligent automation workflows
- Design scalable AI powered backend services
- Develop and deploy LLM-based features
- Ensure AI service reliability and scalability 24 7
- Integrate AI with enterprise data pipelines
- Mentor engineers and support technical excellence
- Participate in system design and code reviews
Perks/Benefits
- Career growth
- Collaborative innovation driven engineering culture
- Continuous learning
- Fully remote friendly work environment
- Mentorship
- Professional development opportunities
- Technical ownership and influence on product architecture
Skills/Tech-stack
AWS | Azure | CI/CD | CircleCI | CloudFormation | Data Warehousing | Docker | ETL | GitLab CI | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Java | Jenkins | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Microservices | MongoDB | MySQL | NLP | NLTK | Python | REST APIs | Retrieval-Augmented Generation | SQL Server | Spacy | Terraform | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer
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