Full Stack AI Engineer - Agentic AI | LLMs | Python

Minimum Experience: 5+ years of relevant experience and 10+ years of overall experience Certification: Not Required Drug Test: No Must-Have Skills

• Artificial Intelligence (AI)
• Python

Nice-to-Have Skills

• Java Spring Boot
• Angular

Detailed Job Description

• Design and develop AI/ML solutions using supervised and unsupervised learning, 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.
• Experience working in the banking domain.
• Develop and maintain end-to-end AI pipelines, covering data ingestion, preprocessing, model training, deployment, monitoring, and continuous improvement.
• Demonstrate 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.
• Work with large-scale data ecosystems, including ETL processes, data lakes, data warehouses, streaming platforms, and tools such as Spark, Databricks, or Microsoft Fabric.
• 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.
• Utilize cloud-based AI services on Azure or AWS, including platforms such as Azure Machine Learning and Amazon SageMaker.
• 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.

Artificial Intelligence (AI), Python Programming/Scripting Language, Python Programming/Scripting Language, Deep Learning, Natural Language Processing (NLP), Artificial Intelligence (AI), Forecasting, Continuous Improvement, Computer Programming, SQL (Structured Query Language)