UI Developer

Salvo Software is a global technology company specializing in custom software development and advanced engineering solutions. With distributed teams across the US, LATAM, and India, we partner with clients to build high-performance, scalable systems that solve complex technical challenges. Our culture values innovation, ownership, and engineering excellence. We're growing our AI department and are looking for a hands-on AI Developer to help build it. Role Overview We are looking for an AI Developer to join and strengthen our AI department. Your core work will be building and operating LLM-powered systems: serving open-source models with Ollama and llama.cpp, building RAG pipelines, and developing MCP integrations that connect large language models to real tools and data. Solid DevOps fundamentals - Docker, CI/CD, Azure - support this work, but AI engineering is the heart of the role. You don't need to be a deep ML researcher. What matters is production-grade Python, strong fundamentals, and the aptitude to learn fast. You'll work closely with our engineering and product teams to take LLM-powered features from prototype to reliably deployed systems, with mentorship available as you ramp up in areas like RAG architecture, Kafka, and advanced MCP work. Key Responsibilities AI / LLM Engineering (core focus) Serve and operate open-source LLMs using Ollama and llama.cpp, locally and in on-prem environments. Build and maintain RAG pipelines: embeddings, vector databases, chunking strategies, and retrieval quality. Develop MCP (Model Context Protocol) integrations connecting LLMs to internal tools and data sources. Build backend services in Python that power ML inference and AI-driven product features. Parse and process structured and semi-structured data (XML/XSD, Office document formats) as pipeline inputs. Grow into model optimization over time: quantization (GGUF), GPU/CUDA tuning, and offline/air-gapped deployments. DevOps & Infrastructure (supporting) Build and maint…

Publié 7 Nov 2026

🚀 Build the data layer AI needs to do science Application deadline: 16 Nov 2026 23:59 CET About Claims AI ate the Internet, but it can't digest science yet. A paper is thousands of words of prose written for humans, but an AI agent doing research needs to know what was claimed, what evidence supports it, and how far to trust it. Claims turns the scientific literature into exactly that: every claim, tied to its evidence, as structured data that models and agents can query. We're a startup and run as Subnet 111 on Bittensor. Since our mainnet launch on 28 August 2026, an open competition of miners has processed more than 10,000 papers, and every record was checked by our validator before it entered the dataset. The competition keeps raising the bar: miners keep finding ways to beat our own reference pipeline, and every win becomes part of the standard the whole network is scored against. The team Claims was founded by two professors of economics and a senior engineer. Philipp Koellinger , CEO, is a professor of economics and an experienced entrepreneur: founder of DeSci Labs and the DeSci Foundation, and co-builder of SciWeave with Ogban. Christian Roessler , co-founder, is a professor of economics and game theorist. He designs the incentive mechanism that makes the miner competition work. Ogban Ugot , engineering, is a senior backend and machine learning engineer. He built SciWeave, the Claims miner, validator and data pipeline, and you will work with him every day. You would be the fourth person on the team and our second engineer. Our culture We are a fully remote team spread across Europe, Africa and the US West Coast. We have a flat hierarchy and move fast towards clearly defined goals. We think deep, don't shy away from difficult problems or conversations, and we ship relentlessly. The code you will write will run on a live network within your first weeks, and you own real things from day one. We are an AI-native company and expect you to be an AI-native Sof…

10000 – 30000

Publié 4 Nov 2026

What You’ll Do 。Design the architecture of the application and make key technical decisions. 。Build and maintain scalable features across the Ringbook web application. 。Integrate AI capabilities throughout the platform to create innovative features. 。Develop clean, responsive, and intuitive frontend interfaces. 。Design and optimize backend APIs, database schemas, and data pipelines. 。Collaborate closely with the CEO on product and technical strategies. 。Contribute to code reviews, architectural decisions, and technical planning. 。Ensure security and compliance standards are met, as expected for financial software. What You Should Know This is a small team environment—you’ll be one of a 3-person team. As an early-stage startup, you’ll have the opportunity to shape the platform and grow with the company. You’ll gain hands-on experience with accounting knowledge as part of the work. This position is a replacement and you'll work from the existing code base. Experience doesn't matter so long as the candidate can demonstrate excellent AI and coding skills. Our Tech Stack Frontend: React + TypeScript Backend: tRPC, Drizzle ORM + PostgreSQL (Planetscale) Infrastructure: AWS EC2 AI Tools: Gemini, Claude Codebase: Monorepo structure The job is full remote with salary payment in USDT / HKD. Please mention the word **GODLIKE** and tag RMTUxLjgwLjE0Ni43Mw== when applying to show you read the job post completely (#RMTUxLjgwLjE0Ni43Mw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

40000 – 50000

Publié 3 Nov 2026