GR
Gugu RoboticsAI Engineer – AI System Calibration, Optimization
AI Engineer specializing in AI system calibration and optimization for clients. Working directly with engineering teams to improve AI models and workflows in Azure environment.
About the role
- Design, develop, and deploy AI-enabled applications using modern machine learning frameworks and APIs
- Integrate large language models (LLMs) and AI services into full-stack applications
- Build intelligent features including natural language processing, computer vision, and predictive analytics
- Optimize AI model performance and ensure scalable deployment architectures
- Develop robust backend services and APIs using Python, or NodeJS
- Build responsive, user-friendly frontend interfaces for AI-powered applications
- Design and implement database schemas and data pipelines to support AI workflows
- Ensure application security, performance, and scalability across the entire stack
- Work with Palantir platform to build data-driven applications and analytics solutions
- Leverage Palantir's data integration and visualization capabilities for AI insights
- Collaborate on complex data transformation and analysis projects within the Palantir ecosystem
- Design and implement data solutions using Snowflake for large-scale analytics and AI model training
- Build efficient data pipelines connecting Snowflake, Palantir, and AI applications
- Build AI Agents capable of task automation, decision-making, and multi-agent collaboration
- Develop agentic systems that can operate independently or as part of a larger ecosystem.
Requirements
- 5+ years of full-stack development experience with production applications
- 2+ years of developing AI/ML Integration solutions
- Experience in building applications using Palantir platform
- Strong proficiency in Python or TypeScript for backend development
- Hands-on experience building and deploying AI-enabled applications
- Experience with Palantir platform including Foundry, Contour, or related tools
- Experience with Snowflake data warehouse and analytics platform
- Proficiency with modern frontend frameworks
- Experience with cloud platforms (AWS) and containerization (Docker)
- Knowledge of database technologies (SQL and NoSQL) and data modeling
- Practical experience integrating AI/ML models into applications (OpenAI API, Anthropic)
- Knowledge of vector databases and embedding techniques
Benefits
- Comprehensive healthcare coverage for you and your family
- Parental leave
- Paid time off
- 401k match
- 10 paid holidays
- Performance-based bonus
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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