AI Engineer
Tasks
- Build NLP pipelines
- Build RAG systems
- Contribute to AI growth strategy
- Create LLM automation workflows
- Deploy production ready generative AI solutions
- Deploy scalable AI systems on cloud
- Design AI agent systems
- Develop intelligent chatbots
- Evaluate model performance
- Implement MLOps monitoring
- Integrate AI into product ecosystems
- Mitigate hallucinations
- Prototype test and iterate AI models
- Translate business problems into AI solutions
Perks/Benefits
- Career development plan
- Client acquisition bonuses
- Company-provided equipment
- Continuous learning support
- English classes
- Flexible working hours
- Fully remote
- Home office budget
- Paid Holidays
- Performance-Based Incentives
- Professional development
- Referral bonus
- Remote work expense support
- Team events
- Training programs
- Virtual team building activities
Skills/Tech-stack
API Integration | AWS | Anthropic Claude | Azure | CrewAI | Generative AI | Google Cloud | Hallucination mitigation | Langgraph | Language Models | Large Language Models | MLOps | Model Evaluation | Monitoring | NLP | Node.js | OpenAI | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | TypeScript
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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