• Product-Centric Development: Designing and executing experiments to improve GenAI capabilities. This isn't just about 'accuracy' in a vacuum—it's about optimizing for user value, reliability, and cost-effectiveness. • Evaluation Systems: Building the 'Golden Path' for quality. You will design and implement robust, multi-dimensional evaluation suites (e.g., using 'LLM-as-a-judge,' semantic checks, and unit tests) to ensure our features are production-ready and hallucination-resistant. • Advanced RAG & Reasoning Optimization: Implementing and tuning advanced retrieval strategies (e.g., hybrid search, reranking, agentic retrieval) and optimizing complex reasoning loops (e.g., CoT, ReAct) to make our current and future agents smarter and more reliable. • Production-Grade Model Tuning: Overseeing supervised fine-tuning (SFT) and Parameter-Efficient Fine-Tuning (LoRA) workflows to adapt models to our specific product domains. • Performance & Cost Engineering: Balancing the 'Quality-Cost-Latency' triangle. You will find ways to maintain high-quality outputs while optimizing token usage and reducing inference latency.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description ECS is seeking an AI Developer to work in our Memphis, TN office (Remote Considered). We are seeking a highly skilled AI Developer with expertise in machine learning model creation and full-stack application development. The ideal candidate will be excited to join an organization that is heavily investing in AI. This role requires the need to build high performance Python-based AI/ML solutions capable of processing extremely large data sets and integrating them into scalable web applications, including LLMs. This role also requires strong problem-solving skills, a deep understanding of AI frameworks, and the ability to work across the entire technology stack. Key Responsibilities: - AI/ML Model Development: - Design, build, fine-tune, and train machine learning and deep learning models using Python. - Perform data preprocessing, feature engineering, and model optimization. - Evaluate models using domain appropriate metrics and improve performance iteratively. - Deploy custom models to production environments (cloud/on-premises) using MLOps best practices. - Full-Stack Development: - Develop high throughput, event-driven microservices (RESTful APIs, GraphQL) for application backends and MCP servers to serve AI models. - Build responsive and user-friendly front-end interfaces for AI-powered applications. - Integrate AI models into web and mobile applications. - Ensure scalability, security, and performance of deployed solutions. - Collaboration & Documentation: - Work closely with data scientists, developers, frontend developers, and product managers. - Document model architectures, APIs, and deployment processes. - Participate in code reviews and maintain high coding standards. Qualifications - Programming: Strong proficiency in Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Transformers). - Full Stack: Experience with backend frameworks (Django, Flask, FastAPI) and frontend frameworks (React, Angular, or Vue.js). - Databases: Knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). - DevOps & Deployment: Familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP). - Version Control: Proficiency with GitHub workflows. - Mathematics & AI Concepts: Strong understanding of statistics, linear algebra, and machine learning algorithms. Requirements - Salary Range: $150,000 - $165,000 Benefits - General Description of Benefits

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Generate prompts that challenge AI; - Evaluate AI-generated solutions for correctness, assumptions, and logic; - Improve AI reasoning to align with first principles and accepted standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for legal consultants, attorneys with an experience in US law open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in law (Bachelor, J.D., LLM, FLLM) within the US context - 2+ years of legal practice experience within US jurisdiction - Strong written English (C1/C2) - Stable internet connection  How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $60/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Generate prompts that challenge AI; - Evaluate AI-generated solutions for correctness, assumptions, and logic; - Improve AI reasoning to align with first principles and accepted standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for legal consultants, attorneys with an experience in US law open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in law (Bachelor, J.D., LLM, FLLM) within the US context - 2+ years of legal practice experience within US jurisdiction - Strong written English (C1/C2) - Stable internet connection  How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $60/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.