Machine Learning Engineer/LLM Orchestrator

As a Machine Learning / LLM Orchestrator, your role goes beyond just coding fast - you will be responsible for architecting AI frameworks that empower all team members to independently build and deploy AI-driven features. Your tasks will include designing and fine-tuning large language models (LLMs), creating internal tools for seamless front-end and back-end component generation, as well as scaling adaptive fraud risk models for real-time transactions. Key Responsibilities: - Build and fine-tune local LLM engines - Design automated pipelines for code generation, testing, documentation, and deployment - Develop adaptive machine learning models for transaction monitoring and fraud risk management - Create internal AI toolkits and frameworks for non-engineers to develop UI/UX, backend services, and ML workflows - Establish best practices for prompt engineering, model evaluation, and agent orchestration - Mentor engineers and product teams - Collaborate with leadership to shape the AI strategy and roadmap Qualifications: - Minimum of 2 years of experience in building, fine-tuning, or deploying LLMs or custom ML models - Proficiency with PyTorch or TensorFlow, and familiarity with orchestration frameworks like LangChain or LlamaIndex - Experience with CI/CD pipelines, Docker/Kubernetes, and microservices - Demonstrated ability to deliver production-ready AI solutions quickly and iteratively - Strong communication skills and a passion for empowering others through technology Why Join Us: - Shape the future of AI-native fintech by directly influencing how our company leverages AI at scale - Enjoy high autonomy and ownership in defining our AI frameworks and standards - Thrive in a fast-paced, experimentation-first environment that values innovation and learning - Benefit from competitive compensation and flexible remote/hybrid working options,