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Typescript Ai Engineer Remote

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Posted:2 weeks ago| Platform: Linkedin logo

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Remote

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Full Time

Job Description

Title : Typescript Ai engineer Remote About The Company: Web 3.0 is the next wave of technology breakthroughs to revolutionize human society, with key pillars being decentralized finance (DeFi), NFTs, Metaverse, and decentralized autonomous organization (DAO). The space is growing at breakneck speed with enormous growth potential in years to come. M0 is a blockchain and web3 technology company exploring big ideas in identity, ownership, utility, DeFi, and interoperability to push the crypto, NFT, and Metaverse space forward. We are looking for the best builders, hackers, innovators, entrepreneurs, visionaries & creatives to come design the future together. This isn't a typical job at M0 you will be challenged to bring out the best version of yourself in bringing to life the creative renaissance of Web3. We are seeking driven individuals with a hunger for product ownership and impact and the potential for asymmetrical upside in doing so. If you don't know about Web3 yet - it's all good, you're about to define it. Requirements: Hands-on experience in developing LLM-based applications for both front-end and back-end development. Develop and maintain AI agents and optimization frameworks using Type Script. Build scalable, reliable AI agent infrastructure. Implement efficient evaluation methodologies for measuring agent performance. Develop and implement agent-based systems using frameworks such as Mastra, Langchain, Langgraph, LlamaIndex, Crew, and Auto gen. Technical Must-Haves Advanced Type Script skills with strong type system knowledge. Experience building and deploying LLM-based applications in production. Experience with retrieval-augmented generation (RAG) implementations in TypeScript. Proficiency with modern Type Script frameworks (Nest.js, Next.js, etc.) Understanding of AI evaluation frameworks . Experience with prompt engineering and experimentation in Type Script environments. Ability to optimize for token usage, cost, and performance in LLM applications. theoretical foundations of AI/ML both short term and long-term memory based models. Experience in creating and deploying code libraries using functions and classes in Python and MERN AI product-focused development. Comfortable working in the cloud and high-performance computing environments (e.g, vector dbs, AWS/Azure/ GCP). Well-versed in software development and code quality best industry practices. Show more Show less

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