Remote Node Jobs in Web3

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Job Position Company Posted Location Salary Tags

Sentient

Remote

$105k - $118k

Shakepay

Remote

$133k - $156k

Klink Finance

Remote

$87k - $93k

Bloxstaking

Remote

$90k - $125k

Shardeumfoundation

Remote

$81k - $100k

Zengo

Remote

$115k - $138k

Chaoslabs

Remote

$142k - $155k

wildcat

Remote

Tether

BE Berne CH

$36k - $54k

Bitgo

Remote

$180k - $240k

Bitgo

Remote

$165k - $210k

Bitgo

Remote

$165k - $210k

Klink Finance

Remote

$87k - $110k

Chaoslabs

Remote

$144k - $164k

Klink Finance

Remote

$87k - $110k

Sentient
$105k - $118k estimated
Remote
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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