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 isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous energy engineering problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc. - 3+ years of professional energy engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage. 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 $55 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.

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 isproject-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design rigorous energy engineering problems reflecting professional practice; - Evaluate AI solutions for correctness, assumptions, and constraints; - Validate calculations or simulations using Python (NumPy, Pandas, SciPy); - Improve AI reasoning to align with industry-standard logic; - Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for energy engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc. - 3+ years of professional energy engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage. 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 $55 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.

• Own AI architecture across cloud platforms (AWS Bedrock, Google Vertex AI) • Design RAG systems end-to-end • Build agentic systems using modern patterns • Define observability and evaluation • Manage cost at scale • Establish guardrails and compliance patterns • Mentor and guide implementation-level developers • Ship production systems

Role Description The Data team is the engine of intelligence at OfferUp. Our mission is to transform massive amounts of marketplace data into seamless, safe, and personalized experiences that empower millions of people to connect and prosper. We bridge the gap between complex algorithms and real-world customer impact across search, trust & safety, and personalization. AI is transforming how millions of people buy, sell, and connect on OfferUp - and this role is at the center of making that happen. As an AI Engineer on the Data team, you will own the production systems — from agentic workflows and RAG pipelines to LLM integrations - that turn our marketplace intelligence into real customer experiences. Your work will have a company-wide impact and be felt by millions of users every day. We are looking for an AI Engineer to join our Data team. This team is tasked with building the core intelligence that is critical to OfferUp's success as the leading local marketplace. - Breadth of Impact: You won't be siloed; you will build AI systems that drive results across Search & Discovery, Trust & Safety, Advertising, and core Personalization. - Modern AI Stack: Work with agentic frameworks (LangChain, LangGraph), RAG architectures, and LLM APIs to solve real marketplace problems. - Production Ownership: You will build, ship, and own AI features end-to-end, from design through deployment. - Collaborative Environment: Work alongside Senior Data Scientists and Engineers, positioning you at the intersection of research and production. In this role, you will: - Design and build agentic AI systems and RAG pipelines for production features across the marketplace. - Integrate LLMs into product experiences across search, categorization, communication, and trust & safety. - Partner with Data Scientists and Engineers to turn research into shipped products. Here’s more of what you will get to do: - Impact on Product: Deliver the next generation of Search, Personalization, and Trust & Safety features powered by reliable, production-quality AI systems. - Impact on Company: Directly contribute to key business KPIs (conversion, retention, fraud reduction) by turning data science insights into shipped capabilities. - Critical Projects: Production RAG pipelines for intelligent discovery; agentic workflows for marketplace automation; tooling and infrastructure for rapid, safe LLM deployment. Qualifications - 2-4 years building and deploying AI/ML systems in production. - 2+ years professional Python development. - Hands-on experience with agentic frameworks (LangChain, LangGraph, or similar) including function calling and tool-use design. - Practical experience building RAG systems (vector search, semantic chunking, rerankers). - Experience with LLM APIs, prompt engineering, and structured outputs. - Proficiency with async Python (asyncio, streaming) and Pydantic. - Strong SQL skills for large-scale data systems. - Bachelor's in CS, Math, Statistics, or related field (or equivalent experience). - Collaborative mindset and strong communication skills. Requirements - Helpful, but not required: LLMOps tooling: evals (Ragas, DeepEval), observability (LangSmith, Arize Phoenix), guardrails (NeMo). - Cloud deployment of AI services (AWS preferred). - GraphRAG or knowledge graph integration (Neo4j/FalkorDB). - ReAct, Plan-and-Solve, or multi-agent collaboration patterns. Benefits - Compensation Range: $140,000 - $160,000. - Health insurance, healthcare savings and spending accounts. - Retirement savings benefits (401(k) plan with match). - Basic and voluntary life insurance. - Disability benefits. - Paid time off for sick leave, family and/or medical leave, vacation, and 12 company holidays. - Flexible vacation policy, generally expected to take 3-5 weeks of pre-planned vacation time per year. - 12 days (96 hours) of sick time per year (pro-rated if the start date is other than January 1).