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Build production-grade AI systems and data pipelines end-to-end, owning schema design, ETL, FastAPI/Next.js apps, and cloud deployments on AWS/Azure.
Build and deploy LLM-powered tools, RAG systems, and agentic workflows, then run the Kubernetes-based AI infrastructure that serves them reliably across the company.
Senior Full Stack Engineer builds RPA agent pipelines and data-rich UIs for a SaaS platform, integrating LLMs and cloud-native tools to automate workflows.
Builds and polishes React/Next.js interfaces for an AI-platform that embeds virtual workers into business workflows, with full-stack ownership of features using TypeScript, Node.js, and PostgreSQL.
Build and deploy production-grade generative AI and unstructured-data pipelines, including RAG, embeddings, and LLM-powered APIs, using Python, FastAPI, and cloud MLOps tooling.
Build and maintain ETL pipelines, streaming data flows, and vector databases to power AI-driven marketing platforms using Databricks, Spark, and GCP.
Design and deliver AI architectures for clients, focusing on RAG pipelines, agentic workflows, and LLM integrations using Python, cloud AI platforms, and vector databases.
Build and operate an internal AI platform for LLM and agentic applications, including retrieval, deployment, and monitoring, using Python, FastAPI, and cloud services.
Build and deploy AI-powered solutions on AWS for a fintech company, focusing on generative AI, agentic AI, and document intelligence using services like Bedrock, Lambda, and OpenSearch.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Builds and deploys production-grade AI/data pipelines: LLM apps (RAG, agents), graph/ETL workflows, and cloud-native data platforms using Python, FastAPI, Airflow, Snowflake, and vector stores.
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 AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Design and maintain cloud backend APIs and infrastructure for a Bitcoin mining and AI cloud platform using Java, Go, Node.js, Python, and Kubernetes.
Build full-stack web apps and integrate AI features using modern stacks (React, Node.js/Python/.NET, SQL/NoSQL) while leveraging AI coding assistants daily.
Build full-stack web apps and integrate AI features using modern stacks, AI coding assistants, and LLM APIs to deliver enterprise solutions.
Build and maintain SGInnovate’s Deep Tech Central platform using full-stack skills (Next.js, NestJS, PHP, Drupal) and integrate AI features with AWS Lambda, vector databases, and LLM APIs.
Lead a team building AI-powered SaaS features for commercial real-estate tools, designing LLM agents, RAG pipelines, and MCP integrations in a Node.js/Python stack.
Build and deploy production-grade AI systems, including LLM-based applications, RAG pipelines, and agentic workflows, across a large Saudi conglomerate's diverse business units.
Build and maintain the data pipelines and retrieval layer that power Mirai’s Generative AI products on AWS, including vector stores, embeddings, and governed datasets.
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