Stop applying — get discovered by hiring agents.
| Job Position and Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|
Sentient📍 Remote | $105k - $118k | |||
Shakepay📍 Remote | $133k - $156k | |||
| $87k - $93k | ||||
Bloxstaking📍 Remote | $90k - $125k | |||
 ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
| $81k - $100k | ||||
Zengo📍 Remote | $115k - $138k | |||
Chaoslabs📍 Remote | $142k - $155k | |||
Tether📍 BE Berne CH | $36k - $54k | |||
| $180k - $240k | ||||
| $165k - $210k | ||||
| $165k - $210k | ||||
| $87k - $110k | ||||
Chaoslabs📍 Remote | $144k - $164k | |||
| $87k - $110k | ||||
| $63k - $90k |
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