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:  - Design original computational chemistry problems that simulate real chemistry research workflows; - Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; - Base problems on real research challenges or practical applications from chemistry practice; - Verify solutions using Python with standard computational chemistry approaches; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Chemistry or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods in chemistry; - Familiarity with computational chemistry concepts and methods; - Strong written English (C1+). 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. Compensation On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

• Collaborate with stakeholders to define AI objectives and strategies • Design and implement complex agentic architectures • Integrate AI capabilities into existing web application architecture • Work closely with data scientists, software engineers, UX/UI designers, and product managers • Create comprehensive documentation for AI models, algorithms, and implementation processes • Monitor and optimize AI model performance

• Join our team as a Senior GenAI Engineer supporting Department of War PPBE (Planning, Programming, Budgeting, and Execution) applications. • Build cutting-edge AI solutions that directly modernize how the DoW plans, programs, budgets, and executes critical defense operations. • Work with cross-functional teams to develop AI-enabled features, build intelligent document processing pipelines, and deliver data-driven analytics for mission-critical defense financial systems. • Design and develop AI-enabled features for PPBE applications using LLMs, GenAI, and agentic AI patterns. • Build RAG pipelines over budget justification documents, appropriation language, execution data, and DoD directives. • Implement agentic workflows using orchestration frameworks (LangGraph, Agno, Haystack, CrewAI) for multi-step budgeting tasks such as POM construction, BES preparation, and J-Book generation. • Develop traditional ML models for budget execution forecasting, obligation rate anomaly detection, and spend trend analysis. • Implement prompt engineering strategies and integrate AI/LLM APIs (OpenAI, Anthropic, Bedrock). • Architect full-stack AI features with reliable API integrations, error handling, and graceful degradation. • Maintain full-stack applications (including Web Application development using modern technologies such as React, TypeScript, NodeJS, Python, and .NET). • Address security vulnerabilities and ensure compliance with DoD cybersecurity standards. • Participate in code reviews, CI/CD pipelines, and collaborative development workflows. • Document technical implementations and stay current with AI and ML developments.

• Lead Agentic AI Design & Prototyping workshops with member organizations • Identify high-value use cases • Rapidly build and iterate functional AI agent prototypes • Facilitate hands-on build sessions and hackathons • Collaborate directly with member teams to co-create and refine AI artifacts • Contribute to the development of practical AI resources • Provide advisory support to members