<div>DwellFi transforms private markets through vertical AI, solving the industry's biggest challenges: manual workflows, data fragmentation, and liquidity constraints. Our SOC-2 certified platform delivers immediate value to Fund Administrators, Family Offices, Private Equity, Hedge Funds, and Venture Capital with: Vertical AI That Generates Alpha • Purpose-built AI agents that complete end-to-end fund workflows • Secure knowledge libraries that make fund data instantly queryable • Orchestration of specialized models for complex financial tasks Real Operational Impact • AI agents automate DDQ processing, cash reconciliation, and capital calls • Knowledge libraries turn GB/TB of documents into conversational insights • Custom AI workflows tailored to your specific operational needs • Operational efficiency gains of 70-90% with higher accuracy Tokenization That Drives Liquidity • Chain-agnostic platform for maximum flexibility • Enable on-chain settlement of secondaries in days, not months • Provide instant lending against fund positions • Maintain security and compliance while unlocking value Unlike horizontal solutions, DwellFi is engineered specifically for private market workflows. Our specialized AI agents understand waterfall calculations, side letter provisions, limited partnership agreements, and regulatory requirements, completing complex tasks without constant oversight. Join leading firms already using DwellFi to unlock operational alpha while delivering better service to their investors.</div>

DwellFi

About
Are you ready to build the future of AI in finance?
At DwellFi, a California based startup, we're creating the definitive AI-native vertical platform for private markets. Our mission is to fundamentally reshape how investment and operations are conducted in this multi-trillion-dollar industry.
Note&nbsp;- -- This is a full-time role. We prefer candidates who have completed their coursework and are available to join full-time. Candidates awaiting graduation results may apply if available full-time and have strong internship or relevant experience. Students currently pursuing their degree are encouraged to apply after graduation. -- Pure Data Science/Analyst candidates without Backend coding skills are NOT suitable for this role.&nbsp; 
Must Read: We are a team of highly passionate AI builders who operate with strong ownership and speed. You'll thrive here if you enjoy learning and applying the latest technologies every day. If a comfortable, low-ownership role is your priority, this is not the right fit—please refrain from applying.
What You'll Do As an AI Platform Engineer, you'll architect and build the systems that power our platform. You'll own the end-to-end development of scalable backend infrastructure and AI agents that analyze data, automate workflows, and generate insights for our users in Private Asset Management space.
Who You Are: - You have a strong foundation in backend engineering, paired with a genuine passion for building AI-driven products. - You think like an entrepreneur, not just an individual contributor, and must own features end-to-end, from market insight and concept validation to development, deployment, and scaling it into revenue-generating products. - You are deeply curious about AI, consistently exploring emerging technologies and translating them into practical, high-impact features
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Your responsibilities: - Build and scale FastAPI-based systems integrating AI agents with complex data workflows - Develop and orchestrate multi-agent systems leveraging LLMs - Manage PostgreSQL data systems with a focus on performance, integrity, and security - Implement async processing and scalable workflows (e.g., Celery) - Design robust prompt strategies and production-grade agent architectures - Write clean, testable, and well-documented Python code - Continuously experiment with and adopt cutting-edge AI tools and frameworks
Required Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent hands-on experience) - 1+ years of backend development experience in Python (or strong experience in another language with the ability to ramp quickly) - Strong understanding of API design and SQL/PostgreSQL schema design - Experience with background job frameworks like Celery or similar tools - Hands-on experience with LLMs (OpenAI, Gemini, Anthropic) and frameworks like LangChain or RAG - Experience with Docker, Kubernetes, and cloud platforms (AWS/GCP) - Solid understanding of AI/ML or agent-based architectures - Strong problem-solving, communication, and collaboration skills