Senior Full Stack AI Engineer

About the role

This position is part of a hybrid work arrangement where employees are expected to work from the office 2-4 days per week.

Responsibilities

• Design and develop AI/ML solutions using supervised, unsupervised, deep learning, NLP, time series forecasting, and anomaly detection techniques to address business challenges.
• Build Generative AI applications leveraging LLMs, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and AI agent frameworks.
• Develop and maintain end-to-end AI pipelines, covering data ingestion, preprocessing, model training, deployment, monitoring, and continuous improvement.
• Implement MLOps best practices, including CI/CD pipelines, model governance, explainability, monitoring, Docker-based containerization, and Kubernetes orchestration.
• Deploy AI models through APIs and microservices, ensuring seamless integration with enterprise applications, systems, and cloud platforms.
• Collaborate with business and technology stakeholders to translate business requirements into scalable AI solutions while tracking ROI and value realization.
• Contribute to AI innovation and best practices through reusable frameworks, AI copilots, semantic models, knowledge graphs, LangChain/Semantic Kernel orchestration, and synthetic data techniques.

Requirements

Must have 5+ years of relevant experience; 10+ years of overall experience.

No certification required.

Nice to Have

• Experience in Java Spring Boot.
• Experience with Angular.

Qualifications

Strong programming expertise in Python and SQL, with hands-on experience in ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face, SpaCy, and NLTK.

Experience working in the banking domain.

Experience with large-scale data ecosystems, including ETL processes, data lakes, data warehouses, streaming platforms, and tools like Spark, Databricks, or Microsoft Fabric.

Experience utilizing cloud-based AI services on Azure or AWS, including platforms such as Azure Machine Learning and Amazon SageMaker.

Ability to work collaboratively with business and technology stakeholders.

Skills

• AI
• Python
• Java Spring Boot
• Angular

Benefits

Flexible work schedule (hybrid)

Pay

TBD

Schedule

Hybrid (2-4 days a week work from office)