AI/ML Engineer, Fullthrottle.ai
We are Fullthrottle.ai, a forward-thinking SaaS company that’s all about helping businesses accelerate their growth with cutting-edge AI technology. As a startup, we've got a "go get 'em" mentality, and we're looking for like-minded people who want to build something incredible. We operate as a distributed, fully remote team and follow an Agile/Scrum framework to stay nimble and get things done.
The Role
As our AI/ML Engineer, you will develop, deploy, and optimize AI services, multi-agent systems, and AI/ML models, focusing on delivering model quality, consistency, and performance across the Fullthrottle,ai platform. You’ll work hands-on within the AWS AI toolset, AWS Bedrock, the latest agentic AI frameworks, Retrieval-Augmented Generation (RAG) pipelines, and AWS AI services to drive innovation and reliability in our AI solutions.
You will play a pivotal role in implementing AI features, multi-agent orchestration, designing prompt engineering workflows, Machine Learning features, fine-tuning foundation models, and integrating robust guardrails for compliance and quality.
Key Responsibilities
* AI Features: Develop and deliver our platform’s AI Features via AWS Cloud AI functions and services.
* Multi-Agent Orchestration: Implement multi-agent orchestration using agentic AI frameworks.
* RAG Pipeline Development: Build and optimize Retrieval-Augmented Generation (RAG) pipelines for scalable, high-quality outputs.
* Prompt Engineering: Design prompt engineering workflows to ensure consistent and reliable model outputs.
* Model Evaluation & Tuning: Evaluate and fine-tune Bedrock foundation models (Claude, Titan, etc.) for optimal performance.
* Compliance & Guardrails: Integrate model guardrails to ensure compliance and maintain high standards of quality and reliability.
Required Qualifications
* Experience: Minimum 2+ years of hands-on experience developing and deploying AI/ML services in production environments.
* Technical Expertise: Expert-level Python and AWS SDK (boto3) skills.
* AWS AI Services: Hands-on experience with Bedrock, Knowledge Bases, and SageMaker.
* Production AI Deployment: Proven experience deploying AI features/services and ML models to production environments.
* Debugging & Optimization: Strong debugging, data engineering, and prompt optimization skills.
* Education/Certifications: Bachelor’s degree in Computer Science, Data Science, or a related field. Relevant certifications in AI/ML or AWS are a plus.
* Collaboration: Ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
You're Not a Fit If...
* You haven’t previously developed and deployed AI/ML services in production environments.
* You prefer a slow-moving environment and are not comfortable with the pace of a startup.
* You prefer to react to problems rather than plan ahead strategically.
* You do not want to be hands-on with the technical details of the role.
Our Core Principles
* We're a team that believes in big ideas and fast execution, adopting a "crawl, walk, run" approach to innovation. We're looking for someone who embodies these principles:
* Customer Centricity: We always put our customers first.
* Growth Mindset: We are constantly learning and evolving.
* Accountability & Integrity: We take ownership and act with honesty.
* Collaboration & Humility: We work together and value every voice.
* Open Communication: We believe in transparency and direct feedback.
If you are a proactive AI engineer with a passion for building and optimizing advanced AI/ML systems, we want to hear from you. This is an opportunity to make a real impact at a dynamic and growing company.