AI Engineer
Tasks
- Apply retrieval augmented generation RAG
- Build production grade AI ML applications
- Build secure governed reusable AI solutions
- Collaborate with product and technology stakeholders to deliver solutions
- Deploy and monitor AI models in production
- Design backend systems and APIs
- Develop data pipelines and intelligent workflows
- Develop multi-agent systems
- Evaluate and integrate AI frameworks and tools
- Implement agentic workflows and orchestration layers
- Improve reliability testing and iterative performance
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Financial wellness tools
- Flexible spending accounts
- Gym subsidies
- Health insurance
- Hybrid work environment
- Legal services
- Paid time off
- Parental leave
- Pet insurance
- Pre tax commuter benefits program
- Travel assistance
- Tuition reimbursement
- Vision insurance
- Wellness perks
Skills/Tech-stack
API Development | Agent systems | Agentic Workflows | Backend Development | Cloud infrastructure | Data Governance | Data Modeling | Data Pipelines | Deep learning | Distributed Systems | Enterprise Integration | Java | JavaScript | LLM APIs | Language Models | Large Language Models | Machine Learning | Monitoring | Multi-Agent | Multi-Agent Systems | Orchestration | Python | RAG | Reliability Engineering | Retrieval-Augmented Generation | Secure connectivity | System design | Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | AI/ML Engineer | Engineer | ML Engineer
Regions
Countries
States
Cities
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