Associate AI Engineer in LAUNCH program developing AI solutions. Collaborating with teams and working post - training on client projects.
About the role
- AI Engineer developing and deploying AI-enabled applications at Progress Residential. Focused on full-stack development and innovative AI solutions.
Responsibilities
- 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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