Netrolynx AI
AI Engineer
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About The Company
Aventum Group is a leading innovator in the technology sector, dedicated to developing cutting-edge solutions that transform digital experiences across various industries. With a focus on artificial intelligence, data analytics, and automation, Aventum Group strives to empower organizations to achieve operational excellence and drive sustainable growth. Our commitment to innovation, integrity, and excellence has positioned us as a trusted partner for global clients seeking transformative digital solutions. We foster a collaborative and inclusive environment that encourages continuous learning, creativity, and professional development.
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 instrumental in designing, implementing, and deploying behavioural learning systems that seamlessly integrate into our digital products and workflows. Your primary focus will be on transforming advanced behavioural, sequential, and causal AI models into reliable, scalable, and maintainable production systems. These systems will power Digital Twins, agentic decision engines, and intelligent automation solutions across 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 decision-making and system 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—not just experimentation—is required. Familiarity with behavioural modelling concepts like imitation learning, behavioural cloning, or decision process modelling is highly desirable. Additionally, experience with causal inference tools and methodologies such as DoWhy, EconML, or CausalML applied to real data is important. Candidates should have strong Python skills and hands-on experience with ML frameworks like PyTorch or TensorFlow. Familiarity with building or integrating AI systems via APIs, services, pipelines, or orchestration frameworks is also necessary. The ability to collaborate effectively within engineering-led product environments, balancing research insights with delivery constraints, is crucial for success in this role.
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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, such as sequence prediction, intent modelling, and imitation learning, into robust, production-ready systems.
- Build and maintain end-to-end AI pipelines, including 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 via 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 production standards for scalability, reliability, security, and observability.
- Contribute to engineering best practices around testing, versioning, CI/CD, and model lifecycle management.
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Benefits
- Personal training sessions to support continuous professional development.
- Additional holiday entitlement based on length of service.
- Private healthcare coverage for you and your family members.
- Participation in the company pension scheme.
- Discretionary annual bonus based on performance.
- Enhanced maternity and paternity leave benefits.
- A day off on your birthday to celebrate your special day.
- Season ticket loan to assist with commuting expenses.
- Cycle to work scheme promoting sustainable commuting options.
- Access to health and wellbeing support programs.
- Exclusive discounts and rewards through our partner networks.
- Death in service benefit providing financial security for your loved ones.
- Employee share scheme allowing participation in the company's success.
Equal Opportunity
Aventum Group is an equal opportunity employer. We are committed to fostering an inclusive environment where all employees and applicants are treated with respect and fairness. We value diversity and are dedicated to providing equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity, age, disability, or any other protected characteristic. Our aim is to create a workplace that reflects the diverse communities we serve and where everyone has the opportunity to thrive and succeed.
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