| Job Position and Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|
Sentientđ Remote | $105k - $118k | |||
| $140k - $175k | ||||
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Falconxđ Remote | $120k - $147k | |||
ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
Bitpandađ Remote | $73k - $110k | |||
Woođ Remote | $126k - $127k | |||
Iftotherđ Remote | $105k - $150k | |||
Shakepayđ Remote | $133k - $156k | |||
| $77k - $120k | ||||
Mythicalgamesđ Remote | $146k - $201k | |||
| $92k - $117k | ||||
| $71k - $103k | ||||
| $218k | ||||
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Exodus54đ Remote | $178k - $241k |
About Sentient
Sentient Foundation is building the cognitive layer of the decentralized web â 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
Weâre looking for a Senior AI Engineer with a strong foundation in backend development and a proven track record of shipping real-world GenAI systems. Youâll work at the heart of Sentientâs AI stack â designing, deploying, and iterating on intelligent agents, RAG pipelines, and LLM-powered features in production.
This is a role for someone who thrives in 0â1 environments, loves working with state-of-the-art AI frameworks, and wants to help shape the future of decentralized intelligence.
What Youâll 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 Weâre Looking For
⢠5â10 years of backend software engineering experience (Python, Node.js, Go, or similar)
⢠2â4 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 builderâs mindset â curious, fast-moving, and unafraid of ambiguity