We are seeking an experienced and passionate Senior LLM/NLP Engineer to join our team and drive innovation in leveraging large language models (LLMs) and NLP technologies. In this role, you will lead the design, development, and optimization of state-of-the-art LLM-based systems, collaborating with cross-functional teams to deliver cutting-edge solutions.
Responsibilities:
• Lead the design and deployment of LLM-based pipelines, including chain-of-thought prompting, retrieval-augmented generation (RAG), and AI agent frameworks. • Fine-tune and optimize advanced LLM models, such as Llama 3.1, Anthropic Opus/Claude 3, and xAI Grok. • Innovate with crypto AI agents like Eliza, Virtuals, and Ai16z, integrating them into product ecosystems. • Implement and manage frameworks such as LangChain, LlamaIndex, and Haystack for advanced chaining workflows. • Develop scalable machine learning models using tools like PyTorch, TensorFlow, Hugging Face, and Scikit-learn. • Build and maintain scalable infrastructure for LLM inference, leveraging distributed systems and big data frameworks such as Spark or Hadoop. • Utilize vector databases, knowledge graphs, and SQL to power advanced semantic search and data retrieval systems. • Collaborate with MLOps and DevOps teams to establish CI/CD pipelines, orchestrate cloud resources, and ensure system observability. • Contribute to the optimization of token efficiency, memory utilization, and inference speed. • Stay ahead of the curve by exploring emerging trends, including multi-modal LLMs, AI-powered autonomous systems, and responsible AI frameworks.
Qualifications:
• 5 to 7 years of relevant experience, with a minimum of three years in applied machine learning or NLP roles. • Advanced degree (Ph.D. or MSc) in computer science, machine learning, AI, or related fields, or equivalent experience in designing, building, and evaluating machine learning systems. • Proficiency with machine learning and NLP tools such as PyTorch, TensorFlow, Hugging Face Transformers, Scikit-learn, and XGBoost. • Experience with tools like LangChain, LlamaIndex, Azure AI Studio, and vector databases. • Strong understanding of statistical analysis, machine learning algorithms, and programming languages such as Python, and SQL. • Familiarity with MLOps principles, orchestration tools, and cloud platforms (e.g., AWS, Azure, or Google Cloud). • Experience with LLM fine-tuning techniques such as LoRA, RLHF, and data augmentation. • Knowledge of big data frameworks and distributed systems (e.g., Hadoop, Spark). • Hands-on experience with AI agent development and autonomous systems.
Why Join Us?
• Build the future of decentralized agentic economy • Work at the cutting edge of LLM and AI innovation, contributing to impactful projects with global reach. • Collaborate with a diverse team of experts in machine learning, data science, and software engineering. • Opportunities to engage with emerging technologies like crypto AI agents, decentralized AI, and autonomous systems. • Drive meaningful advancements in how businesses and individuals interact with AI.
Benefits
Extremely competitive salary
Salary paid in usd
Remote work
Flexible hours
Outstanding talents in the team
Working at the edge of high tech and AI at the highest international level
معرفی شرکت
در DeFiNovin، ما در انجام تحقیقات عمیق در مورد پروتکلها، اکوسیستمها و روایتهای DeFi برتری داریم و بینشهای درجه یک سازمانی را به مشتریان برجسته خود ارائه میکنیم. به عنوان یک شرکت پژوهشی data-driven ، از ابزارهای پیشرفته و اختصاصی برای تجزیه و تحلیل داده های on-chain استفاده می کنیم و از نتایج دقیق و ارزشمند برای تصمیم گیری آگاهانه اطمینان می دهیم.
در DeFiNovin، ما متعهد به گردآوری تیمی از استعدادهای استثنایی هستیم. ما به دنبال افرادی هستیم که مهارتها و انگیزههای لازم برای کمک به ما را در دستیابی به رشد تصاعدی و عبور از مرزهای برتری در دنیای Decentralized Finance داشته باشند.