Senior ML/AI Engineer

We are Wizeline a global AI-native technology solutions provider develops cutting-edge AI-powered digital products and platforms. We partner with clients to leverage data and AI accelerating market entry and driving business transformation. As a global community of innovators we foster a culture of growth collaboration and impact.With the right people and the right ideas theres no limit to what we can achieve Are you a fit Sounds awesome right Now lets make sure youre a good fit for the role Key Responsibilities - Collaborate with data scientists and engineers to orchestrate LLMs and tools into complex AI workflows. - Implement optimized vector storage and indexing systems for NLP. - Develop tools and frameworks for prompt management automated evaluations and observability. - Monitor and improve agentic systems performance for accuracy and efficiency. - Provide ongoing support troubleshoot issues and implement updates for ML solutions - Build and maintain data processing pipelines for high volumes of structured and unstructured data. - Integrate third-party AI APIs (internal and external) to extend the functionality of systems. - Stay updated on GenAI NLP ML and IR technologies incorporating best practices and leveraging cloud infrastructure for efficiency. - Build and extend internal products on top of the LangChain ecosystem (LangGraph LangSmith) to support prompt management evaluation and agent orchestration across the team. Must-have Skills - Bachelors or Masters degree in Computer Science Engineering Data Science or a related STEM field or equivalent work experience. - 4+ years of industrial experience in a machine learning engineering or data engineering role. - Strong programming skills in Python and/or another high-level language commonly used in machine learning. - Experience deploying LLMs implementing automated evaluation pipelines (LLM-as-a-judge) and architecting multi-agent systems that utilize tool-calling and long-term memory to solve non-linear problems. Nice-to-have - AI Tooling Proficiency Leverage one or more AI tools to optimize and augment day-to-day work including drafting analysis research or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. - Familiarity with cloud-based infrastructure and services (e.g. AWS and GCP) Docker and the Git version control system - Familiarity with consuming and integrating APIs in a reliable and secure manner. What we offer - A High-Impact Environment - Commitment to Professional Development - Flexible and Collaborative Culture - Global Opportunities - Vibrant Community - Total Rewards Specific benefits are determined by the employment type and location. Find out more about our culture here.