Role Description 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: - Building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. - Creating challenging tasks and evaluation criteria within realistic simulated environments: - Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history. - Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent. - Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient. - Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust. What this is NOT: - Not data labeling. - Not prompt engineering. - Not writing code from scratch - the agent writes most of the code; you guide and evaluate. Qualifications - 8+ years in software development. - Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis. - Experience writing tests (functional, integration). - English proficiency - B2+. Requirements - Deep understanding of where models fail and what scenarios reveal the difference between a good and a bad solution. - Ability to create tasks that genuinely challenge the best models. - Writing tests that accept all correct solutions and reject incorrect ones. Benefits - Compensation: Up to $150/hr equivalent, depending on level and pace. - Tasks are estimated at ~30 hours each; you set your own schedule. - Effort estimate: Tasks for this project are estimated to take 30 hours to complete, depending on complexity.

• Develop and integrate applications with Large Language Models and other enterprise services • Leverage front-end and server-side technologies to develop APIs • Implement DevOps practices and optimize Artificial Intelligence applications • Engage with multiple teams and contribute key decisions • Conduct code reviews and provide constructive feedback • Stay updated with latest trends in AI and cloud technologies

• Evoluir a plataforma interna de desenvolvimento assistido por Inteligência Artificial. • Desenvolver e manter Skills, Rules, Agents e outros artefatos utilizados por ferramentas de IA. • Estruturar bases de conhecimento reutilizáveis para consumo por modelos de IA. • Organizar documentação técnica otimizada para utilização por LLMs. • Criar automações que reduzam atividades manuais e aumentem a produtividade da engenharia. • Pesquisar continuamente novas tecnologias e ferramentas de IA aplicadas ao desenvolvimento de software. • Participar das decisões de arquitetura e engenharia de software. • Apoiar a definição de padrões técnicos e boas práticas de desenvolvimento. • Produzir documentação técnica clara, organizada e reutilizável. • Compartilhar conhecimento técnico por meio de treinamentos, documentação e demonstrações práticas. • Apoiar os desenvolvedores na adoção de ferramentas de IA para aumento de produtividade e qualidade. • Contribuir para a evolução contínua da engenharia de software da empresa.

Role Description The Senior Application Developer is responsible for architecting, building, and maintaining cloud-native applications and AI-powered solutions using C#, the .NET platform, and Microsoft Azure. This role blends advanced enterprise application development with the design and implementation of AI features and autonomous AI agents that enhance and automate business workflows. The role carries technical leadership expectations — setting standards, mentoring developers, and driving architectural decisions. The Senior Developer is expected to operate with a high degree of autonomy, exercise sound technical judgment, lead by example, and guide team members to effectively accomplish project objectives. Responsibilities - Architect and develop robust, scalable, production-grade applications in C# using .NET / .NET Core. - Lead the design, integration, and deployment of AI-powered features and AI agents that automate tasks, reason over enterprise data, and augment user workflows. - Design and orchestrate AI solutions using services such as Azure OpenAI, Azure AI Services, and agent frameworks (e.g., Semantic Kernel, Microsoft Agent Framework / AutoGen, or the OpenAI/Anthropic SDKs). - Implement retrieval-augmented generation (RAG), advanced prompt engineering, tool/function calling, and vector-based search to ground AI on enterprise content. - Establish engineering standards, conduct code reviews, and mentor junior and mid-level developers. - Partner with stakeholders and architects to translate business requirements into technical designs and delivery roadmaps. - Integrate AI capabilities responsibly, incorporating security, privacy, evaluation, and governance considerations throughout. Compensation The anticipated base salary range offered for this role will be between $140,000 to $175,000 and represents the firm’s good faith and reasonable estimate of the range of possible base compensation. Actual base compensation will be dependent upon several factors, including but not limited to the candidate’s relevant experience, performance, qualifications, degrees, and location, as well as the needs of the firm. Qualifications - Deep, demonstrable expertise developing production applications in C# with .NET / .NET Core. - Proven experience building or integrating AI/LLM-based solutions— including prompt engineering, function/tool calling, RAG patterns, and working with model APIs (Azure OpenAI, OpenAI, or similar). - Hands-on experience with AI agent development— designing agents that plan, call tools, maintain context, and execute multi-step tasks (e.g., via Semantic Kernel, Microsoft Agent Framework, AutoGen, or LangChain-style orchestration). - Strong experience with application development for Azure, including App Services, Azure Functions, Logic Apps, Key Vaults, Storage Accounts, and Azure DevOps pipelines. - Strong experience with Azure SQL and T-SQL, including designing SQL database objects, stored procedures, user-defined functions, and integrated security; familiarity with vector data stores (e.g., Azure AI Search, Cosmos DB) is a plus. - Solid command of DevOps and CI/CD pipelines and version control systems such as Git, including branching strategies and release management. - Proficiency developing in Visual Studio (and/or VS Code). - Mastery of all phases of the software development life cycle (SDLC)— architecture, design, implementation, testing, deployment, and documentation — and the ability to embed security considerations into every phase. - Strong experience with Web Services, RESTful APIs, and SOAP APIs to integrate applications with vendor and enterprise systems. - Demonstrated technical leadership — mentoring developers, owning architectural decisions, and driving best practices across a team. - Excellent problem-solving abilities and an aptitude for rapidly learning and evaluating emerging technologies, especially in the fast-moving AI space. - Effective interpersonal and written/verbal communication skills, with the ability to communicate technical concepts to both technical and non-technical audiences, and close attention to detail. Preferred - Experience delivering AI/agentic solutions for real business processes (document analysis, summarization, intelligent automation, copilots) at production scale. - Experience working with legal, financial, and HR systems, applications, and databases. - Experience with client-side technologies such as HTML5, JavaScript, and CSS. - Experience with client-side development using JavaScript/TypeScript and modern frameworks such as React, plus HTML5 and CSS. - Experience with legal desktop applications including document management systems, legal workflows, onboarding workflows. - Working knowledge of Responsible AI practices — evaluation, guardrails, content safety, and cost/performance optimization of AI workloads. Experience / Education - Bachelor's degree in Computer Science or a related field. - Minimum of four years of professional software development experience, including hands-on delivery with C#/.NET; demonstrated experience building AI/LLM-based solutions strongly preferred.