Full-Time
Infrastructure Engineer
Posted on 8/22/2025
Gensyn
11-50 employees
Decentralized AI training via peer-to-peer blockchain
No salary listed
H1B Sponsorship Available
Remote in USA + 5 more
More locations: Remote in UK | Remote in Germany | Remote in Spain | Remote in Italy | Remote in France
Remote
Candidates must be located in the West Coast (PT) or Central Europe (CET) time zones.
 DevOps & Infrastructure (1) |
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- Strong proficiency in software engineering for backend and infrastructure tooling
- Hands-on experience with Kubernetes in production environments
- Experience deploying large scale workloads to one or more cloud providers
- Experience monitoring and being on call for internal and external deployments
- Infrastructure as Code and GitOps expertise, Terraform preferred
- Manage observability and deployments for a complex, distributed system
- Manage CI/CD and build pipeline infrastructure
- Author and maintain internal developer support tools
- Experience working with Kubernetes, or an equivalent container orchestration solution
- Experience managing OTel, Prometheus, or other open source observability systems
- A high-degree of proficiency with Python, shell scripting, and Linux
Gensyn builds a decentralized AI training network using a permissionless, peer-to-peer protocol. Devices worldwide—ranging from consumer GPUs to custom ASICs or SoC devices—join the network to train AI models. Each device runs training tasks and submits proofs to the Gensyn blockchain to verify work, enabling distributed compute without a central gatekeeper. This setup challenges traditional cloud providers by pooling compute resources from many participants and reducing costs. Unlike centralized cloud services, there is no single owner controlling access; anyone can contribute and be compensated for their work through the network. The company’s goal is to offer a more affordable path to train AI models by distributing workloads across a global, permissionless ecosystem rather than charging cloud margins.
Company Size
11-50
Company Stage
ICO
Total Funding
$66.6M
Headquarters
London, United Kingdom
Founded
2020
Simplify's Take
What believers are saying
- Delphi testnet records millions in volume since December 2025, targeting $500B creator economy.
- AXL deployment in April 2026 addresses enterprise data sovereignty amid regulations.
- $16.14M token sale with 7,412 participants values Gensyn at $473M FDV.
What critics are saying
- Bittensor erodes Gensyn's market share with superior incentives in 6-12 months.
- Akash Network undercuts Gensyn's GPU pricing, causing revenue shortfalls in 3-9 months.
- SEC classifies Gensyn token as security post-offering, destroying 80% FDV in 6-12 months.
What makes Gensyn unique
- Gensyn's Reproducible Execution Environment verifies ML work trustlessly across devices.
- Agent eXchange Layer enables encrypted P2P communication for AI agents without servers.
- Delphi launches on-chain LMSR markets for trading machine intelligence benchmarks.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Paid Sick Leave
Flexible Work Hours
Remote Work Options
Company Equity
Growth & Insights and Company News
6 month growth
↑ 4%1 year growth
↑ 4%2 year growth
↑ 6%Gensyn launches delphi: first live market for machine intelligence trading now live. According to @gensynai, Gensyn has launched Delphi as a live venue to trade in the first market for machine intelligence, inviting users to participate and start trading. Source: https://twitter.com/gensynai/status/2010442743445950804 Traders can access the platform directly via delphi.gensyn.ai to begin participation. Source: https://delphi.gensyn.ai/ and https://twitter.com/gensynai/status/2010442743445950804 The announcement does not specify token usage, blockchain integration, or fee structure, indicating details are limited to access and availability for trading. Source: https://twitter.com/gensynai/status/2010442743445950804 Crypto Wallet Service Gensyn AI has just announced an exciting opportunity for traders and AI enthusiasts to dive into Delphi, the pioneering live market for machine intelligence. According to the official announcement from Gensyn AI on January 11, 2026, participants can now engage in trading activities within this innovative platform, marking a significant milestone in the intersection of artificial intelligence and decentralized markets. This development comes at a time when AI-driven cryptocurrencies are gaining momentum, offering traders new avenues to capitalize on the growing demand for machine learning resources. As an expert in cryptocurrency and stock markets, I see this as a potential catalyst for AI tokens, potentially influencing trading volumes and price actions across related assets. Exploring trading opportunities in Gensyn's Delphi market. The launch of Delphi by Gensyn AI introduces the first live market dedicated to machine intelligence, where users can trade computational resources in a decentralized manner. This platform leverages blockchain technology to create a transparent and efficient marketplace for AI workloads, allowing participants to buy, sell, and optimize machine learning tasks. From a trading perspective, this could drive interest in AI-focused cryptocurrencies such as FET and AGIX, which have shown resilience in volatile markets. For instance, historical data indicates that announcements in the AI sector often correlate with spikes in trading volume for these tokens. Traders should monitor support levels around $0.50 for FET and resistance at $0.80, as positive sentiment from Delphi could push prices toward these thresholds. Institutional flows into AI projects have been increasing, with reports from blockchain analytics firms noting a 15% uptick in on-chain activity for AI-related tokens over the past quarter. This positions Delphi as a key player in enhancing liquidity and fostering cross-market opportunities between traditional stocks in tech giants like NVIDIA and crypto AI ecosystems. Market sentiment and institutional interest in AI crypto. Market sentiment around AI innovations remains bullish, especially as global adoption of machine intelligence accelerates. Gensyn's Delphi not only facilitates trading but also integrates with broader crypto narratives, potentially boosting sentiment for tokens involved in decentralized computing. Without real-time data, we can reference recent trends where AI token trading volumes surged by 20% following similar platform launches, according to on-chain metrics from sources like Dune Analytics. Traders might consider long positions in ETH pairs, given Ethereum's role in hosting many AI dApps. Broader implications include correlations with stock market performances; for example, rises in AI stocks often precede crypto rallies, offering hedging strategies. Risk factors include regulatory scrutiny on AI markets, but the decentralized nature of Delphi mitigates some concerns, making it an attractive entry point for diversified portfolios. ETH Trading Platform In terms of concrete trading strategies, focus on on-chain metrics such as transaction counts and wallet activities surrounding Gensyn-related addresses. If adoption grows, we could see increased volatility, with potential 24-hour price changes exceeding 5% in correlated tokens. For stock market correlations, watch how this affects tech indices, as AI advancements drive institutional investments. Overall, Delphi represents a trading-focused breakthrough, blending AI utility with crypto economics to create new profit opportunities. To wrap up, Gensyn AI's Delphi launch is a game-changer for traders eyeing the AI-crypto nexus. By participating, users can engage in a market that's poised to revolutionize machine intelligence trading, with ripple effects on cryptocurrency prices and volumes. Stay vigilant for market indicators and consider this as part of a broader strategy involving AI tokens and tech stocks.
Gensyn, an artificial intelligence computing protocol, has completed its token public offering, raising approximately $16.14 million from 7,412 participants. The offering valued the company at a fully diluted valuation of $473 million, with tokens priced at $0.0473. The Gensyn Foundation announced that token distribution details will be released on 25 December. The public offering represents the latest fundraising milestone for the AI computing protocol startup.
Gensyn launches Delphi - the first real-time market signal for model intelligence. News provided by. LONDON, Dec. 11, 2025 /PRNewswire/ - Delphi lets users watch machine learning models compete live on benchmarks and buy a stake in those the user thinks are best, creating the first live market signal of model performance. As trades are placed, the price of each model changes. Models are systematically evaluated against assessment criteria, producing an index of model intelligence. When all the rounds are complete, the market settles and those with a stake in the winner earn rewards - creating a flywheel that drives development in open source AI. Participate in the first market - Gensyn Middleweight General Reasoning Benchmark. Delphi allows users to trade positions in top open source models as they undergo evals. Soon users will be able to create their own markets and compete with their own models as well, all secured by Gensyn's decentralised verifiable machine learning infrastructure. Liquidity and pricing Delphi uses a fully on-chain symmetrical LMSR to provide continuous liquidity throughout each market. This is one of the only live implementations of such a system and allows users to smoothly enter & exit a position at any time without waiting for a counterparty. It allows the market to update cleanly from the first trade to the final settlement, using a fully transparent and on-chain pricing mechanism, no opaque centralised order books. Try it Today Delphi is live now on the Gensyn testnet. Over the coming weeks and months it will expand with additional domains and longer-running markets that cover a broad range of AI capabilities. Vault staking will follow, allowing users to provide liquidity and earn market-neutral yields, buy into baskets of models or model families, and more. As we approach mainnet, Delphi will transition from test tokens to real economic value, creating an open and verifiable market for machine intelligence. "Delphi provides open access to machine intelligence markets. Instead of investing in private companies, like OpenAI, market participants can now back open source models directly as they are evaluated technically. Trade real technical progress rather than marketing hype and AGI promises, create new global evals tracking model capabilities, and build new models collaboratively with on-chain attribution." - Ben Fielding | Co-Founder and CEO SOURCE Gensyn
Gensyn has introduced RL Swarm to facilitate collaborative reinforcement learning and has announced a March testnet launch, enabling broader participation in the advancement of open machine intelligence.
San Francisco, California, December 31st, 2024, ChainwireOpen (also known as webisOpen on X, collective includes RSS3) is transforming virological research and decentralized science (DeSci) through its innovative Open Virtual Machine (OVM). This technology, integrated with the Compute Wormhole, facilitates the on-chain analysis of genetic similarities between two viruses: SARS-CoV-2 (sequenced in Wuhan, 2019) and SARS-CoV (sequenced in Toronto, 2003).This analysis is performed fully on-chain using Open’s Open Virtual Machine (OVM) within a Trusted Execution Environment (TEE) (together known as Open’s Compute Wormhole) utilizing and bridging decentralized compute from Hyperbolic Labs, to ensure integrity, immutability, determinism, and resistance to tampering. Additionally, OVM guarantees verifiability through on-chain transactions, promoting transparency and trust in the results.This demo and experiment of Open Desci Platform Alpha and its record on-chain (on Open Chain) has also been released to the public to showcase the power of OVM to the public. Users can check out this link for more information.The Research ChallengeDecoding the genetic fingerprints of viruses has traditionally required expensive supercomputers and extensive infrastructure—resources often out of reach for many researchers. For years, virologists have been constrained by financial and logistical challenges, forcing them to focus more on acquiring equipment than advancing scientific discovery. Moreover, the reliance on private or centralized computing resources has limited peer reviews, making it difficult to reproduce results and raising concerns about the integrity, reliability, and trustworthiness of the findings.Entering the OVM RevolutionThe Open Virtual Machine (OVM) offers a high-performance, decentralized, and verifiable compute layer, designed to democratize access to advanced computational resources