Fullthrottle.ai is looking for an AI/ML Engineer to develop, deploy, and optimize AI services, multi-agent systems, and AI/ML models to enhance the quality, consistency, and performance of their AI solutions on the Fullthrottle.ai platform.
Requirements
- Minimum 2+ years of hands-on experience developing and deploying AI/ML services in production environments
- Expert-level Python and AWS SDK (boto3) skills
- Hands-on experience with Bedrock, Knowledge Bases, and SageMaker
- Proven experience deploying AI features/services and ML models to production environments
- Strong debugging, data engineering, and prompt optimization skills
Responsibilities
- Develop and deploy AI services, multi-agent systems, and AI/ML models
- Work hands-on within the AWS AI toolset, AWS Bedrock, the latest agentic AI frameworks, Retrieval-Augmented Generation (RAG) pipelines, and AWS AI services
- Implement AI features, multi-agent orchestration, designing prompt engineering workflows, Machine Learning features, fine-tuning foundation models, and integrating robust guardrails for compliance and quality
- Develop and deliver our platform’s AI Features via AWS Cloud AI functions and services
- Implement multi-agent orchestration using agentic AI frameworks
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for scalable, high-quality outputs
- Evaluate and fine-tune Bedrock foundation models (Claude, Titan, etc.) for optimal performance
Other
- Ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders
- Prefer a fast-moving environment and are comfortable with the pace of a startup
- Prefer to plan ahead strategically rather than react to problems
- Willing to be hands-on with the technical details of the role
- Embody principles of customer centricity, growth mindset, accountability & integrity, collaboration & humility, and open communication
