The Role
We’re seeking a versatile GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. 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
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Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments
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Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering, RAG implementation
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Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
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Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
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Design and develop APIs that expose AI capabilities to Anaplan’s platform and third-party integrations
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Optimize model inference pipelines for performance, cost, and scalability in production environments
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Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour
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Collaborate with data scientists to productionize ML models and forecasting algorithms
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Write comprehensive tests including unit tests, integration tests, and prompt regression suites
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Participate in code reviews, technical design discussions, and knowledge-sharing sessions
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Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption
Requirements
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4+ years of software engineering experience with 2+ years focused on ML/AI systems
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Strong programming skills in Python including experience with ML frameworks (PyTorch, TensorFlow, Transformers)
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Experience building and deploying LLM-powered applications in production
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Proficiency in front-end development with React, TypeScript, and modern web technologies
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Understanding of RESTful API design, microservices architecture, and cloud infrastructure
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Experience with prompt engineering, RAG systems
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Strong foundation in ML fundamentals including NLP, time-series analysis, or recommender systems
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Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
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Excellent problem-solving skills and attention to detail
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Bachelor’s degree in computer science, Machine Learning, or related field
Nice to have skills:
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Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar)
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Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
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Experience with model serving frameworks (vLLM, TensorRT, Ray)
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Background in forecasting, planning, or analytics applications
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Familiarity with Anaplan or similar enterprise planning platforms
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Experience with A/B testing and experimentation frameworks for AI features
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Contributions to open-source ML projects or research publications
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Experience with model observability tools (LangSmith, W&B, MLflow)
What we offer
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Hybrid/flexible working model and flexible working hours
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Private Medical and/or Health Insurance (location dependent)
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Length of Service Awards
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Referral programme
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The option of a cafeteria package, meal tickets, or team lunches (location dependent)
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A culture of continuous growth, supported by our People Lead system and various training resources for your personal development
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Agile mindset, simplified processes, and a great atmosphere where commitment and autonomy are celebrated
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A community-first mindset, working with talented people across technology products and consulting
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Charity events and programs
Additional benefits based on location:
Hungary:
Extensive cafeteria package tailored to your needs (including SZÉP card)
Romania:
Bookster library subscription, and the opportunity to work from abroad (max. 60 days per annum)
(*) As we hire permanent employees for this role, we offer remote opportunities only in Romania and Hungary.
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 upon where the client is on their digital journey, comprising a combination of access to dedicated R&D labs, technology implementation advice, and specialist nearshore development talent. As an international community of individuals who are open to learn from each other, we collectively define and input into the digital future of the clients’ businesses.
Why Zenitech?
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Impactful Projects: Drive meaningful change through digital transformation projects and have an opportunity to make an impact on many different industries.
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Collaborative Culture: Be part of a diverse, inclusive team committed to growth, innovation, and continuous learning.
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Professional Growth: Zenitech supports continuous learning and development through the People Lead system, helping you advance your skills and career.
Diversity and Inclusion
Zenitech celebrates diversity in all its forms. We aim to create an inclusive environment where everyone feels valued for their unique contributions and perspectives. If you require any adjustments during the application process, please let us know—we’re here to help. Our commitment to diversity, equity, inclusion, and belonging can be found here.