Middle AI Engineer
Tasks
- Apply prompt engineering and RAG
- Build AI automation pipelines
- Coordinate with SRE and DevOps teams
- Deploy AI driven applications and agentic systems
- Design agentic AI solutions using LLMs
- Develop and fine tune models for natural language understanding
- Evaluate AI models and implement continuous learning
- Implement scalable APIs and microservices for model serving
- Integrate AI capabilities into infrastructure and workflows
Perks/Benefits
- Hybrid/Remote flexibility
- International projects
- Medical healthcare
- Ongoing learning reimbursement
- Recognition program
- Team events
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
API Development | AWS | Azure | Docker | GCP | Hugging Face | Hugging Face Transformers | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | Microservices | Model Deployment | Observability | Prompt engineering | PyTorch | Python | RAG | Reinforcement Learning | Telemetry | TensorFlow | Transformers
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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