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Build and maintain scalable, PCI-compliant payment systems, integrating AI/ML for fraud detection and performance optimization while leading backend services and mentoring junior engineers.
AI Data Engineer (Data & Analytics) Data and Analytics at COMPLY: COMPLY is the worlds leading aggregator of financial and regulatory data to support compliance. Our mission is to help financial institutions meet…
Build and own AI/LLM systems for corporate spending management, including RAG, agent orchestration, and security controls, using Python and cloud-native tools.
Build and own Qashio’s AI/LLM platform, designing secure, vendor-neutral systems for agent orchestration, RAG, and compliance controls from prototype to production.
Build and deploy AI agents using LLMs (OpenAI, Claude, Gemini) and frameworks like LangChain to automate workflows and enhance fintech operations.
Build and deploy enterprise-grade AI solutions, including GenAI agents and RAG systems, using Python, cloud platforms (Azure/AWS), and frameworks like LangChain to improve customer experience and operational efficiency in an insurtech company.
Designs and deploys LLM-powered agents and copilots, builds RAG pipelines, and integrates vector databases for client workflows.
Build and own AI/LLM systems for a fintech expense platform, designing secure RAG, agent orchestration, and evaluation pipelines in Python.
Builds and scales APIs, databases, and AI integrations for an AI-powered interview platform using Python, FastAPI, and PostgreSQL.
Build AI-powered apps using Anthropic’s Claude API, integrating LLM workflows, prompt design, and tool use into scalable full-stack systems with React, Next.js, Node.js/Python, and vector databases.
Build full-stack web apps with React/Next.js and Node.js/PHP, integrating Anthropic’s Claude API to create AI-powered features like agents, RAG, and streaming responses.
Build production-grade AI features like RAG pipelines and agentic workflows using Python, FastAPI, and vector stores; ship LLM-powered services end-to-end.
Senior AI engineer building a distributed automation platform in Python/FastAPI, orchestrating 1,000+ concurrent browser jobs with Celery, Redis, PostgreSQL, Playwright/Puppeteer, and Kubernetes.
Build and deploy production-grade ML models and RAG pipelines to replace rule-based systems, focusing on model quality, evaluation, and self-hosted LLM inference.
Build and fine-tune AI models using Python, TensorFlow/PyTorch, and cloud services like AWS Bedrock and Azure OpenAI to deliver industry-specific solutions.
Build and integrate AI-powered features for a large automotive marketplace, using LLMs, RAG, and cloud services to improve search, recommendations, and automation.
Build and integrate AI-powered features for a large automotive marketplace, using LLMs, RAG, and cloud services to automate workflows and improve user experience.
Build and ship AI-powered agentic applications using Python, LangChain/LangGraph, and vector databases; lead system design, DevOps, and team mentorship.
Tune and migrate a SQL Anywhere 17 database to PostgreSQL 18, profiling slow queries, optimizing schema/indexes, and validating data integrity for a global dealership management system.
Build and maintain Azure infrastructure as code (Bicep/Terraform) for a multi-tenant SaaS platform, automate deployments, and run Windows remote-desktop services for automotive dealership software.
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