AI Engineer

Are you passionate about translating complex business challenges into cutting-edge AI solutions Were seeking a hands-on AI/ML Engineer / Senior Engineer to join our team.

This role is at the cutting edge of applied AI - its an opportunity to be a core builder. You will be responsible for designing developing and deploying AI agents leveraging Googles Vertex AI ecosystem and building solutions that around sophisticated machine learning models to cutting-edge Agentic AI for our clients.

The ideal candidate should have hands-on experience with machine learning algorithms deep learning frameworks and cloud-based ML solutions (preferably on Google Cloud stack).

What Youll Design & Own

• Design End-to-End AI Solutions: Translate complex business problems into scalable secure and robust technical architectures. You will be the primary designer for solutions leveraging Agentic AI LLMs and advanced RAG.
• Build and fine-tune agentic logic using Googles Gemini models and the Vertex AI platform. Develop sophisticated prompting strategies (e.g. ReAct CoT) and evaluation frameworks.
• Get your hands dirty. Write high-quality efficient code to build and train machine learning models and complex AI systems.
• Be a key player in developing innovative Agentic AI solutions creating systems that can reason plan and act on complex tasks.
• Own the full model lifecycle. You will be responsible for deploying models into production environment monitoring their performance and iterating (MLOps).

Qualifications :

• We are looking for a blend of technical depth engineering rigor and creative problem-solving.
• Hands-on experience in building and deploying machine learning models.
• Bachelors or Masters degree in Computer Science Engineering Mathematics Data Science AI or a related quantitative field.
• Programming: Expert-level proficiency in Python.
• ML Frameworks: Deep practical experience with ML libraries like Scikit-learn TensorFlow and/or PyTorch and ML algorithms like classification regression clustering reinforcement learning.
• GenAI & Agentic AI: Demonstrable experience with Large Language Models (LLMs) prompt engineering and frameworks like LangChain LlamaIndex or similar.
• Data Stack: Strong skills in data manipulation and analysis using SQL Pandas and NumPy.
• Deployment & MLOps: understanding of MLOps principles. Hands-on experience with containerization (Docker Kubernetes) and deploying models as scalable APIs (e.g. FastAPI Flask).
• Cloud Experience: experience building and deploying solutions on at least one major cloud platform (GCP (Preferred) AWS or Azure).

Desirable Skills

• Experience designing multi-agent systems or autonomous workflows.
• Hands-on experience with Google Cloud Platform.
• Publications conference speaking or open-source contributions in the AI/agent space.

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 value-based recognition awards referral bonus;   
• Career Development: Career coaching global career opportunities non-linear 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 pass-it-on sessions workshops conferences;
• Work-Life 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.

At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.

Remote Work :

No

Employment Type :

Full-time