Netrolynx AI
AI Engineer
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About The Company
Aventum Group is a leading innovator in digital transformation and intelligent automation solutions. Renowned for its commitment to leveraging cutting-edge technologies, Aventum Group specializes in developing advanced AI systems that empower businesses to optimize operations, enhance decision-making, and create innovative digital products. With a focus on research-driven development and practical implementation, the company prides itself on fostering a collaborative environment that encourages continuous learning and technological excellence. Aventum Group serves a diverse range of industries, including finance, healthcare, manufacturing, and more, delivering tailored solutions that drive measurable business outcomes.
About The Role
We are seeking an experienced AI Engineer to join our dynamic team at Aventum Group. In this role, you will be instrumental in designing, implementing, and deploying advanced behavioural learning systems that integrate seamlessly into our digital products and workflows. Your primary focus will be on transforming complex behavioural, sequential, and causal AI models into reliable, scalable production systems that support Digital Twins, agentic decision engines, and intelligent automation initiatives. This position offers a unique opportunity to bridge the gap between research and real-world application by working closely with software engineers, ML engineers, and product teams to embed behavioural intelligence from data pipelines to live decisioning and monitoring systems.
Qualifications
The ideal candidate will possess a strong foundation in machine learning, applied statistics, or software engineering, with proven experience in deploying AI models into production environments. You should have demonstrated expertise in implementing sequence- or decision-based models such as LSTM, Transformers, Markov models, or reinforcement learning-inspired methods. Familiarity with behavioural modelling techniques like imitation learning, behavioural cloning, or decision process modelling is essential. Additionally, experience with causal inference tools and methodologies, such as DoWhy, EconML, or CausalML, applied to real data, is highly desirable. Proficiency in Python and ML frameworks like PyTorch or TensorFlow, along with experience in building or integrating AI systems via APIs, services, and orchestration frameworks, is required. The candidate must demonstrate strong problem-solving skills, the ability to collaborate effectively in engineering-led environments, and a passion for emerging AI technologies.
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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 modifications.
- 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 adhere to 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 professional development.
- Additional holiday entitlement based on length of service.
- Private healthcare coverage for you and your family.
- Company pension scheme.
- Discretionary annual bonus based on performance.
- Enhanced maternity and paternity benefits.
- Day off on your birthday to celebrate your special day.
- Season ticket loan to assist with commuting costs.
- Cycle to work scheme promoting healthy and sustainable commuting.
- Health and wellbeing support programs.
- Exclusive discounts and rewards through partner programs.
- Death in service benefit providing financial security for your loved ones.
- Employee share scheme allowing you to participate in the company's growth.
Equal Opportunity
Aventum Group is committed to creating an inclusive environment where all employees are valued and respected. We are an equal opportunity employer and do not discriminate based on race, gender, age, religion, sexual orientation, disability, or any other protected characteristic. We believe diversity enriches our workplace and drives innovation, and we are dedicated to providing equal employment opportunities to all applicants and employees.
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