Job Opportunities API

About us Zenitech is a leading technology solutions provider dedicated to reshaping the global digital landscape. Headquartered in the UK, Zenitech operates internationally, with offices in Lithuania, Romania, and Hungary. We use a bespoke approach depending on where the client is on their digital journey, comprising a combination of access to dedicated R&D labs, technology implementation advice, and specialist near-shore development talent. As an international community of individuals who are open to learning from each other, we collectively define and contribute to the digital future of our clients’ businesses. About the role Our client is a leading cloud-based business and financial planning software company, providing subscription-based solutions that help organizations make data-driven decisions. Recognized by Gartner in the Financial Planning Software market, they enable enterprise planning across finance, operations, sales, and supply chain through a highly scalable and extensible platform. We're seeking a versatile GenAI Engineer who can work across the full stack of GenAI applications, model integration and prompt engineering. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. What you will do You’ll have the opportunity to join a greenfield team building transformative AI capabilities from the ground up Work with cutting-edge conversational and agentic AI technologies to develop user-facing features that directly influence how businesses plan and make decisions Experiment with the latest generative AI models and techniques while collaborating closely with talented engineers, data scientists, and product designers Tackle unique challenges at the intersection of AI and enterprise software, while continuing to grow your skills across both machine learning engineering and full-stack development Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering, RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to our client's platform and third-party integrations Optimize model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionize ML models and forecasting algorithms Write comprehensive tests including unit tests, integration tests, and prompt regression suites Participate in code reviews, technical design discussions, and knowledge-sharing sessions Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption Contribute to an environment where different perspectives are valued, and where open collaboration leads to better technical decisions. Requirements 3+ years of software engineering experience with 2+ years focused on ML/AI systems Strong programming skills in Python including experience with ML frameworks (PyTorch, TensorFlow, Transformers) Experience building and deploying LLM-powered applications in production Understanding of RESTful API design, microservices architecture, and cloud infrastructure Experience with prompt engineering, RAG systems Strong foundation in ML fundamentals including NLP, time-series analysis, or recommender systems Familiarity with containerization (Docker), orchestra