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Senior Python developer building and optimizing high-throughput backend systems, APIs, and microservices for a global financial firm using FastAPI/Flask/Django and SQLAlchemy.
Design and lead enterprise-grade full-stack architectures for financial services using Python, AWS, and modern data platforms, guiding teams to deliver scalable solutions for investment banking and treasury systems.
Senior full-stack engineer building Python (FastAPI/Flask) and React (TypeScript) features for defence-focused AI platforms, shipping LLM capabilities and secure GCP infrastructure.
Build and deploy LLM-based AI solutions for customer support, including voice/text agents, while optimizing ML infrastructure and MLOps pipelines on AWS/Databricks.
Build a full-stack veterinary platform with React/React Native frontends, Node.js/Python backends, and AWS cloud infrastructure, integrating AI diagnostics and analytics.
Design and build scalable data pipelines and Lakehouse infrastructure using Azure and Databricks to power analytics and AI for a global risk advisory firm.
Build and maintain cloud-based payment intelligence and AI-enabled data products using Python/FastAPI, React, and AWS for global financial institutions.
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
Build and own the AI layer for Elderwise, fine-tuning LLMs to convert caregiver notes into clinical documentation, with embeddings, RAG, and evaluation systems for accuracy and safety in healthcare.
Build and deploy ML models and LLM-based apps for beauty ecommerce, including recommendation engines and NLP, using PyTorch, FastAPI, and GCP VertexAI.
Design and build generative and agentic AI solutions for enterprise clients, including LLMs, RAG, and AI agents, while advising on data strategy and analytics.
Build and maintain AI Agent applications using LLMs for intelligent Q&A, task planning, and workflow automation in energy-storage systems.
Build and optimize data pipelines and applications using Hadoop, Spark, Python, and Airflow to power Singtel’s 5G, cloud, and analytics platforms.
Build and scale AI/ML services and data pipelines in Python/Java, using Docker/Kubernetes and Flask/FastAPI to enable new AI capabilities.
Builds and maintains backend services using Python, FastAPI, and PostgreSQL, designing RESTful APIs and ensuring scalable, maintainable code.
Builds backend logic for a full-stack web app in Python, integrates financial models, and connects to front-end components while learning energy systems and DevOps workflows.
Build and maintain Python-based APIs, ETL pipelines, and databases to power data-driven applications and integrations for clients.
Builds scalable AI and digital systems for healthcare, focusing on Python, cloud infrastructure, and GenAI prototypes transitioned to production.
Senior Backend Engineer builds and maintains scalable APIs for an AI-driven aviation inspection platform using Python, FastAPI, MongoDB, and Azure.
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