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About the Role
Quest Global delivers world-class end-to-end engineering solutions by leveraging deep industry knowledge and digital expertise. We are looking for innovators who are inspired by technology and perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. We engineer a brighter future by solving critical and large-scale challenges across various industries.
Responsibilities
- Pilot next-generation technologies solving problems traditional programming struggles with by utilizing Gen AI or other machine learning techniques
- Experience in developing with Claude, Gemini, or similar LLMs SDKs or APIs
- Experience in cloud platforms
- Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases
- Rapidly build prototypes to evaluate architecture
Requirements
- AI Engineer/ ML Engineer with python or typescript
- Knowledge of DE
- Some knowledge in AWS or some cloud
- Designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks
- Understanding how to context engineer with or without a framework
- Prior work in designing user-facing AI features or tools
- Experience in building APIs and sharing data between teams
- Experience as a backend or full stack dev preferably in Python or Typescript
- Hands-on experience with cloud services and containerization technologies
Skills
- Gen AI
- Machine learning
- Claude
- Gemini
- LLMs SDKs or APIs
- Cloud platforms
- Python
- Typescript
- DE
- AWS
- NLP
- Multi-modal AI frameworks
- Agentic AI frameworks
- Context engineering
- API development
- Containerization technologies
Salary/Compensations
- $95000-$105000
Benefits
- Health insurance
- Paid time off
- Retirement plan
- 401(k) matching
- Dental insurance
- Vision insurance
- Employer paid Life Insurance
- Short- & Long-Term Disability
About the Company
- Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise.
- By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster.
- This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.