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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 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.
Builds and scales APIs, databases, and AI integrations for an AI-powered interview platform using Python, FastAPI, and PostgreSQL.
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.
Architect and build Factored OS, a modular full-stack platform enabling teams to ship tools efficiently, using Node.js/React and cloud services.
Principal Software Engineer to lead the architecture of an AI-ready data platform for a global fintech company, defining standards for trusted, governed data products that power analytics and secure customer integrations.
Build and maintain AI-powered travel systems, including data infrastructure, scalable APIs, and LLM-based prototypes in Python, to power millions of user experiences.
Build and maintain RAG pipelines: clean and transform unstructured data, generate embeddings, and optimize vector indexes for retrieval quality.
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