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Lead the architecture and hands-on delivery of scalable GenAI applications and agentic AI platforms for finance use cases using Python, AWS, and enterprise-authored AI tools.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Build, document, and optimize production-grade AI/ML pipelines and model integration layers using Python, PyTorch, and vector databases.
Build and improve AI-powered tax assistant features, RAG, generative AI, workflow automation, and fiscal insights using Python, backend services, and AI orchestration frameworks.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Build and integrate AI-powered features into HCM software using Python and LLMs in AWS, under senior guidance.
Designs and builds enterprise-grade GenAI solutions on AWS (Bedrock, AgentCore) with LLMs, RAG pipelines, and agentic workflows, ensuring scalability, performance, and cost efficiency.
Build and deploy enterprise-grade AI systems using LLMs, RAG, and Agentic AI frameworks to automate workflows and enhance customer experiences in banking.
Builds and deploys secure enterprise AI workloads by writing production code, designing low-latency topologies, and integrating Prisma AIRS with microservices and multi-cloud architectures.
Senior AI Software Engineer specializing in Generative AI, designing and implementing production-ready applications using LLMs, agents, RAG, and cloud architectures (AWS/Azure). Core technologies include Python, LangChain, Docker, Git, and cloud services.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the…
Design and develop AI-enabled software using Python, LLMs, and RAG pipelines, building backend services, REST APIs, and scalable data pipelines with SQL and Elasticsearch.
Builds Python-based healthcare software with REST/gRPC APIs, cloud infrastructure, and AI/LLM integrations for ClinDCast’s patient-centric solutions.
Builds full-stack AI-powered features (React/Python) for SOCOTEC’s global enterprise platform, owning components from design to deployment while collaborating with cross-functional teams.
Build full-stack features in React and Python for an AI platform used across global business units, including LLM integrations and data infrastructure.
Build and deploy NLP models and AI pipelines for a chatbot program, integrating with cloud services and collaborating with cross-functional teams.
Entry-level software engineer consulting on client projects, building cloud, data, and AI solutions with Python, Java, and modern web tech while learning DevOps and AI tools.
Builds and maintains Python-based AI agents and data governance services using LangChain/LangGraph, Docker, and CI/CD pipelines for MWS Cloud Platform.
Build and deploy enterprise-grade AI applications using LLMs, RAG, AI Agents, and vector search; design scalable backend services and orchestration pipelines for agentic workflows.
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