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Senior QA Engineer designs and runs test strategies for Amazon Connect contact-center systems, builds automated test suites (Playwright, Cypress, Selenium), and validates AI-driven voice agents and serverless AWS backends.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Lead enterprise AI adoption by designing governance frameworks, productivity KPIs, and automated acceptance platforms to evaluate and scale AI solutions across finance and operations.
Build and deploy production-grade LLM chatbots and RAG pipelines using commercial APIs and self-hosted open-source models, optimizing for latency, cost, and reliability.
Build and maintain automated test frameworks for AI agents and LLM-powered apps, including eval pipelines, chaos testing, and CI/CD integration across LangGraph and Vercel stacks.
Build and deploy AI agents that automate financial workflows using Python, LLM APIs (Claude/OpenAI), and Microsoft ecosystems; focus on production-grade, secure, and scalable solutions.
Design and deploy multi-agent AI systems for logistics workflows, integrating LLMs with enterprise tools using frameworks like CrewAI and LangGraph.
Build AI-powered integrations and agent-driven workflows using TypeScript and LLMs to automate data collection and orchestration across systems.
Build and deploy enterprise-grade autonomous AI agents using LLMs, orchestration frameworks, and vector databases in Azure to power resilient workflows and RAG systems.
Build and optimize cloud-native data pipelines and warehouses on AWS, using Python, Spark, and modern lakehouse practices to migrate and modernize customer data platforms.
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Build and deploy AI agents using Databricks Mosaic AI, LangChain/LangGraph, and RAG pipelines; integrate base models and implement MLOps best practices.
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Build and scale distributed alerting systems in Go, handling ingestion, evaluation, and delivery for Grafana Cloud and on-prem deployments.
Build and deploy AI-powered Python full-stack apps and integrations for customers, using FastAPI/React, MCP, LLM APIs, and cloud services.
Build a two-sided client portal using React, Supabase, and AI tools; integrate Google Workspace and automate notifications for a fintech-like workflow.
Build and refactor full-stack systems for a fintech company, integrating AI APIs into customer support and shipping responsive Next.js/React interfaces with TypeScript.
Senior Python developer builds secure, high-performing backend services with FastAPI and GraphQL, integrating AI/LLM APIs on Azure for generative AI applications.
Builds the AI-powered agentic interface for a visitor-attractions analytics platform using React, TypeScript, and AI tooling to deliver streaming dashboards and data-driven decisions.
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