At Sentient, we re pioneering the open artificial general intelligence (AGI) frontier, enabling loyalty and monetization of open-source models through cutting-edge research. Our platform is designed to democratize AI development, empowering communities to collaboratively train, control, monetize, and build on top of AI models in a truly open and accessible ecosystem, ensuring fair value distribution to AI builders. Sentient is backed by leading Silicon Valley venture capital firms including Founders Fund and founded by top AI academics and protocol founders. Job Summary Were seeking an exceptional AI Product Data Analyst to join our team in building Sentient Chat, a multi-agent product aiming to compete with leading consumer AI competitors. This role is a unique opportunity to work on end-to-end AI system development, from data analysis to executing on tangible AI feature improvements. The ideal candidate will have a strong focus on data analysis, natural language processing, and understanding of consumer AI performance expectations. Responsibilities Build data pipelines for natural language processing from Sentient Chat logs, analyze feedback, and extract product-level insights Run public and private benchmarks on internal AI sub-systems to assess performance across prototypes and competing products Own and compile custom datasets to define acceptance criteria throughout the product development lifecycle Conduct basic market research to suggest ways to improve AI performance on target metrics Organize scripts and data to present concrete AI failure cases and identify improvement areas Required Qualifications Experience in AI/ML : 2+ years of hands-on experience in data analysis, machine learning, or a related field, with a focus on natural language processing (NLP) and/or generative AI. Technical Skills : Strong proficiency in Python, with experience in libraries such as PyTorch, NumPy, and pandas. Data Analysis : Proven ability to collect, analyze, and interpret large datasets, with experience in data profiling and evaluation. Problem-Solving : Excellent problem-solving and analytical skills, with a proactive approach to challenges and a strong foundation in data science. Ability to derive and answer product-level questions to improve the end-consumer experience. All successful candidates will be contacted within 72 hours.

About Sentient At Sentient, we re pioneering the decentralized artificial general intelligence (AGI) frontier, breaking free from the constraints of centralized AI models. Our cutting-edge platform is designed to democratize AI development, empowering communities to collaboratively train and control AI models in a truly open and accessible ecosystem. Fueled by our expertise in distributed systems, cryptography, and AI, we re building a game-changing environment that fosters open-source development and ensures fair value distribution. Say goodbye to the monopolies of the past - Sentient s decentralized network promotes model composability and adherence to our foundational principles of transparency, trust, and inclusivity. Imagine being part of a team that s shaping the future of AGI, where innovation knows no boundaries, and the collective intelligence of global communities drives progress. Join us on this exhilarating journey as we redefine the AI landscape, unleashing the full potential of trustless, decentralized AGI. Sentient is backed by leading Silicon Valley venture capital firms including Founders Fund, Pantera, and Framework. Responsibilities Design, implement, and maintain fault-tolerant core infrastructure for the Sentient platform Architect and manage robust performance-critical backend services on AWS and GCP Implement serverless architectures and optimize cloud resource utilization Implement and maintain REST and Websocket APIs to provide data to AI applications Collaborate with cross-functional teams to define, design, and ship new features Design and deploy scalable, reliable, and secure end-to-end AI workflows for Sentient products, including fine-tuning and inference pipelines for generative AI models Design and implement custom AI agent frameworks and multi-agent systems from scratch Deploy, test, and follow proper release management processes to drive end-to-end services from dev to UAT to production Deploy services in accordance with security measures, including IAM, security groups, and encryption Write comprehensive documentation to ensure reproducibility and transparency Required Qualifications 5+ years hands-on experience in developing large applications and designing end-to-end infrastructure Demonstrated mastery of the Python programming language Expertise in a lot of the AWS and GCP services: Compute: EC2, GCE, Lambda, Cloud Functions Networking: VPC, Cloud VPN, Transit Gateway, Cloud Interconnect Storage: S3, Cloud Storage, EBS, Persistent Disk Databases: RDS, Cloud SQL, DynamoDB, Bigtable Containerization: ECS, GKE, ECR, Container Registry Serverless: Lambda, Cloud Functions, API Gateway, Cloud Run Monitoring: CloudWatch, Cloud Monitoring, CloudTrail, Cloud Audit Logs Expertise in containerization (Docker) and orchestration (Kubernetes, EKS, GKE) Familiarity with Infrastructure as Code (Terraform, CDK, Cloud Deployment Manager) Understanding of Generative AI, LLMs, datasets, fine-tuning, and AI inference Problem-solving mindset to navigate ambiguity in a fast-paced startup Passion for building revolutionary AI products Values Appreciate and pursue deep expertise Embrace extreme ownership and bias for action Want to take risks and act upon ambition with integrity and empathy Pursue relentless innovation and experimentation Invest in personal growth and team collaboration Benefits Competitive salary, equity, and insurance Flexible PTO and WFH policy Top-of-the-line engineers and technology Opportunity to shape the direction of a pioneering open AI platform

About Sentient Sentient Foundation is building the cognitive layer of the decentralized web creating open, composable, agent-based AI systems that serve humanity, not platforms. Our flagship product, Sentient Chat , is a generative AI assistant powered by open-source models and governed by its users. We operate at the frontier of AI, Web3, and open innovation. The Role We re looking for a Senior AI Engineer with a strong foundation in backend development and a proven track record of shipping real-world GenAI systems. You ll work at the heart of Sentient s AI stack designing, deploying, and iterating on intelligent agents, RAG pipelines, and LLM-powered features in production. This is a role for someone who thrives in 0 1 environments, loves working with state-of-the-art AI frameworks, and wants to help shape the future of decentralized intelligence. What You ll Do Design, build, and scale production-grade GenAI agents Work with LLM frameworks , agentic systems , RAG pipelines , and eval tooling Build backend services and APIs that power Sentient Chat and future AI-native products Collaborate with researchers, infra engineers, and product teams to ship iteratively and intelligently Help define best practices for prompt engineering , model selection , and continuous evaluation Stay close to the bleeding edge of AI, testing and integrating advances quickly What We re Looking For 5-10 years of backend software engineering experience (Python, Node.js, Go, or similar) 2-4 years working directly with Generative AI systems (LLMs, diffusion models, or agents) Proven experience with: Agentic frameworks (LangChain, AutoGen, CrewAI, etc.) Retrieval-augmented generation (RAG) and semantic search Prompt design , task decomposition , and evaluation pipelines Understanding of scalable infrastructure and deploying AI in production Bonus: experience with model training , fine-tuning , or hosting open-source LLMs (vLLM, LoRA, etc.) A builder s mindset curious, fast-moving, and unafraid of ambiguity

About Sentient Foundation At Sentient Foundation, we believe in a future where AI and blockchain converge to create open, intelligent systems that empower individuals and communities. We are pioneering new ways to organize, process, and interact with information rethinking traditional models from first principles. Our mission is to build cutting-edge AI-driven solutions that are decentralized, transparent, and accessible to everyone. We are a team of builders, researchers, and visionaries pushing the boundaries of AI. If you re passionate about shaping the future of intelligent, open-source technology, we d love to meet you. About the Role Sentient Foundation is looking for an experienced Product Manager to lead the development of AI-powered decentralized applications. In this role, you will define the vision and strategy for products that integrate AI with blockchain, ensuring they are scalable, user-friendly, and aligned with our mission. You will work closely with engineering, design, and research teams to drive product innovation, from ideation to execution. The ideal candidate is a strategic thinker with a strong understanding of AI, blockchain, and decentralized ecosystems. Responsibilities Define and drive the product roadmap for AI-powered decentralized applications. Identify opportunities for innovation and user-centric growth in the AI and blockchain space. Work cross-functionally with engineering, design, and research teams to build intuitive and scalable products. Leverage data, user research, and market insights to inform product decisions. Develop and execute go-to-market strategies that align with Sentient Foundation s vision. Make high-conviction decisions that balance innovation, feasibility, and user experience. Qualifications 4+ years of experience in product management, ideally in AI, blockchain, or decentralized applications. Strong track record of building and launching consumer-facing or developer-focused products. Understanding of AI, search technologies, and decentralized networks. Experience working with data-driven decision-making, user research, and growth strategies. Ability to thrive in a fast-paced, early-stage environment with a high degree of ownership. Familiarity with automation, scaling of AI-driven applications, and decentralized governance models is a plus.