Senior AI Engineer
Senior AI Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling datadriven decisionmaking and innovation through advanced analytics and predictive modeling.
The AI Engineer is responsible for designing building and optimizing AIenabled applications ensuring their efficiency reliability and alignment with business objectives. This role focuses on developing deploying orchestrating and maintaining AIpowered applications in production environments. The AI Engineer collaborates closely with Data Scientists Software Engineers and Product teams to operationalize AI capabilities across the organization.
Key Responsibilities
LLM Orchestration & Optimization
- Architect and optimize LLMenabled applications ensuring efficient inference and costeffectiveness.
- Implement caching retrievalaugmented generation (RAG) and finegrained model selection strategies for performance improvements.
Model Deployment & MLOps
- Deploy models into cloud environments (AWS Azure GCP) and ensure their scalability and monitoring.
AI Infrastructure & Data Pipeline Integration
- Collaborate with Data Engineers to ensure seamless integration of AI models with data pipelines and APIs.
- Leverage industrystandard APIs for invoking Large Language Models (LLMs) such as OpenAI API AWS Bedrock or Anthropic Claude.
AI Governance & Compliance
- Ensure AI models comply with regulatory and ethical standards including GDPR and responsible AI principles.
- Utilize monitoring tools for LLMs such as LangSmith to track performance accuracy and drift over time.
Collaboration & Crossfunctional Engagement
- Work closely with Product Managers and business stakeholders to identify AIdriven opportunities and define success metrics.
- Partner with Software Engineers to integrate AI capabilities into applications and production systems.
Qualifications :
Key Skills & Competencies
Technical Foundations
- Programming: Proficiency in Python.
- LLM Orchestration (any of): LangChain LlamaIndex vector databases (Pinecone Weaviate FAISS).
- Cloud & MLOps (any of): AWS SageMaker Azure ML GCP Vertex AI MLflow Kubeflow.
- Automation & Deployment (any of): Docker Kubernetes Terraform CI/CD pipelines.
AI Architecture & Engineering
- Understanding of scalable AI architectures model serving strategies (REST/gRPC APIs) and distributed model training.
Soft Skills
- Problem Solving: Ability to translate complex AI challenges into practical solutions.
- Communication: Effectively conveys technical AI concepts to nontechnical stakeholders.
- Collaboration: Works crossfunctionally to drive AI adoption and integration across teams.
- Innovation: Stays up to date with the latest advancements in AI research and industry trends.
Additional Information :
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package share plan company performance bonuses valuebased recognition awards referral bonus;
- Career Development: Career coaching global career opportunities nonlinear career paths internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions passiton sessions workshops conferences;
- WorkLife Balance: Hybrid work and flexible working hours employee assistance programme;
- Health: Global internal wellbeing programme access to wellbeing apps;
- Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.
Our diversity makes us stronger it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us regardless of background identity or personal characteristics feels valued respected and free from discrimination. As an equal opportunity employer we welcome applications from all individuals and base hiring decisions on merit skills qualifications and potential.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
