Netrolynx AI
AI Engineer
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About The Company
Aventum Group is a leading innovator in the digital transformation landscape, dedicated to delivering cutting-edge solutions that empower businesses to harness the full potential of artificial intelligence and machine learning. With a strong focus on research and development, Aventum Group specializes in creating scalable, reliable, and intelligent systems that drive operational efficiency and strategic decision-making for clients across various industries. Committed to fostering a collaborative and inclusive work environment, the company invests in its talent to stay at the forefront of technological advancements and industry best practices.
About The Role
We are seeking a highly skilled AI Engineer to join our dynamic team at Aventum Group. In this role, you will be responsible for designing, implementing, and deploying behavioural learning systems that integrate seamlessly into our digital products and workflows. Your primary focus will be on transforming advanced behavioural, sequential, and causal AI models into robust, scalable, and maintainable production systems. These systems will underpin Digital Twins, agentic decision engines, and intelligent automation solutions that enhance our digital suite. This position offers a unique opportunity to bridge the gap between model development and real-world application, working closely with software engineers, machine learning engineers, and product teams to embed behavioural intelligence end-to-end—from data pipelines and inference services to live product decisioning and monitoring.
Qualifications
The ideal candidate will possess a strong foundation in machine learning, applied statistics, or software engineering, with proven experience in building production systems. Demonstrated expertise in implementing sequence- or decision-based models such as LSTM, Transformers, Markov models, or reinforcement learning-inspired methods is essential. Practical experience deploying AI models into live environments, beyond experimentation or notebooks, is required. Familiarity with behavioural modelling concepts like imitation learning, behavioural cloning, or decision process modelling is highly desirable. Additionally, candidates should have experience with causal inference tools and methodologies such as DoWhy, EconML, or CausalML applied to real datasets. Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow are mandatory. Candidates should also have experience building or integrating AI systems via APIs, services, pipelines, or orchestration frameworks, along with the ability to collaborate effectively within engineering-led product environments.
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Responsibilities
- Design, implement, and deploy AI models that predict, optimize, or automate decision-making within production digital workflows.
- Translate behavioural and sequential modelling approaches, including sequence prediction, intent modelling, and imitation learning, into robust, production-ready systems.
- Build and maintain end-to-end AI pipelines encompassing data ingestion, feature engineering, model training, inference, and monitoring.
- Apply causal inference techniques to evaluate the real-world impact of AI-driven decisions and support data-informed product changes.
- Integrate AI services into existing platforms through APIs, microservices, and event-driven architectures in close collaboration with engineering teams.
- Partner with product and platform teams to ensure AI outputs are actionable, explainable, and aligned with business workflows.
- Support Digital Twin and agentic systems by implementing behavioural dynamics, state modelling, and decision process representations.
- Validate deployed models using offline replay, A/B testing, shadow deployments, and simulation frameworks.
- Ensure solutions meet standards for scalability, reliability, security, and observability in production environments.
- Contribute to engineering best practices around testing, versioning, CI/CD, and model lifecycle management.
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Benefits
- Personal training sessions to enhance skills and knowledge.
- Additional holiday entitlement based on length of service.
- Private healthcare coverage for employees and their families.
- Participation in the company's pension scheme.
- Discretionary annual bonus based on performance and company results.
- Enhanced maternity and paternity leave benefits.
- A day off on your birthday to celebrate and relax.
- Season ticket loan to support commuting needs.
- Cycle to work scheme encouraging sustainable travel.
- Access to health and wellbeing support programs.
- Exclusive discounts and rewards for employees.
- Death in service benefit for financial security.
- Employee share scheme allowing participation in company ownership.
Equal Opportunity
Aventum Group is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute to our collective success. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, religion, or any other characteristic protected by law. Our hiring practices are designed to ensure fairness and equal opportunity for all qualified candidates.
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