Senior Data & AI Engineer

Overview

At Nortal, we believe in building seamless experiences with meaningful impact — whether that means smarter governments, better healthcare, next-gen telecom solutions, or transforming how global enterprises leverage data and AI.

To support our vision, we are building a talent pipeline for future needs and are currently looking for a Senior Data & AI Engineer to join our journey.

Responsibilities

Design and implement Python-based services that leverage language models (LLMs), voice models, and embedding models to solve real-world business problems.
Collaborate with cross-functional teams to build scalable, highly available and maintainable solutions.
Implement data ingestion pipelines to transform unstructured data, such as documents and media.
Build integration pipelines and connectors to existing systems to retrieve data and authenticate users.
Evaluate AI-based systems in relation to their use case using metrics such as groundedness, accuracy, relevance, faithfulness, word error rate, etc.
Integrate machine learning model-based services into CI/CD pipelines.
Maintain high engineering standards through clean, well-documented, and testable code.
Stay up to date with advances in generative AI, speech recognition and synthesis, embedding-based retrieval systems, and assess their applicability to different use cases.
Troubleshoot and optimise deployed services, ensuring resilience and high performance in production environments.
Implement an observability stack on GenAI applications to monitor costs, latency, performance, and adherence to safety guidelines.
Guide tool selection and architecture design for AI model deployment and service orchestration.
Support agile processes (Scrum/Kanban), including sprint planning, code reviews, and retrospectives.
Participate in internal knowledge sharing, mentoring, and advancing Nortal's Data & AI engineering practices.

Qualifications

4+ years of hands-on experience in software engineering, preferably in data- or AI-focused projects.
Proficient in Python, with experience in building APIs/services that integrate machine learning models.
Familiarity with ML and DL frameworks, such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Langfuse, LiveKit, etc.
Understanding of vector databases, embedding models, and retrieval-augmented generation (RAG) pipelines, knowledge of graph databases is a plus.
Experience with speech/voice models and related libraries/tools is a strong plus.
Solid knowledge of containerization and orchestration (eg Docker, Kubernetes), cloud platforms (eg AWS, Azure, GCP), and infrastructure-as-code (eg Terraform).
Working knowledge of SQL/NoSQL, and how to handle unstructured and structured data within ingestion pipelines.
Familiarity with version control systems such as Git.
Strong communication skills, both written and spoken, with fluency in English.
Experience working in distributed teams and collaborating across time zones.

We like to say Nortal is a right-sized company – big enough to work on meaningful, complex problems, yet small enough that every voice counts. You'll be part of a company where your input shapes the outcome, and where you can execute your ideas at speed. With experienced colleagues, low hierarchy, and global impact, what you build here matters—and will be used worldwide. Join us and help make the future of data and AI, one application at a time.

Senior Data & AI Engineer

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