Middle AI Engineer
Tasks
- Apply prompt engineering and RAG
- Build intelligent automation pipelines
- Collaborate with SRE DevOps and Product teams
- Design and implement agentic AI solutions
- Develop and deploy LLM applications
- Evaluate AI models and monitoring
- Fine tune models for NLP and prediction
- Implement scalable APIs and microservices
Perks/Benefits
- In office hybrid option
- Local benefits
- Medical healthcare
- Ongoing learning reimbursement
- Recognition program
- Referral bonuses
- Remote flexibility
- Sports compensation
- Team events
- Top tier equipment provision
- Well-being program
Skills/Tech-stack
API Development | AWS | AutoGPT | Azure | CrewAI | Docker | Google Cloud | Hugging Face | Hugging Face Transformers | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Microservices | Model Evaluation | Natural Language | Natural Language Processing | Observability | Prompt engineering | PyTorch | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Telemetry | TensorFlow | Transformers
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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