Tech jobs
Job listings
Data Engineer (Azure Data Platform)
Build and optimize Azure Data Factory/Synapse pipelines and Microsoft Fabric solutions, integrating AI-powered analytics and Power BI models to deliver business insights for clients.
Staff Software Engineer
Staff Software Engineer at Priority leads system design and reliability across teams, focusing on AI-driven fintech solutions like fraud detection and operational efficiency using Node.js, Python, AWS, and Kubernetes.
Agentic Product Engineer | Internship | Full-stack | Saily
Build small tools and features end-to-end using AI agents, React/Next.js, and TypeScript while collaborating with autonomous teams to improve Saily’s mobile connectivity product.
Software Architect
Designs and leads Paymentus’s enterprise payments platform, defining scalable microservices, APIs, and data flows while mentoring engineers and translating business needs into technical solutions.
AI Engineer
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Senior Full-Stack Engineer (AI App Builder)
Builds the core AI App Builder platform: a full-stack system where users describe ideas and the platform generates functional apps, using React/Next.js, Node.js, and serverless/edge tech.
Senior DevOps / Platform Engineer
Own and improve the production infrastructure, CI/CD, and observability for a Voice AI product, reducing operational chaos and enabling faster, reliable AI deployments.
Founding Engineer / Full-Stack Builder
Build a full-stack SaaS platform that integrates LLM APIs into structured, decision-driven user journeys for career strategy, using React/Next.js, Node.js or Python, and cloud deployment.
Senior Product Engineer (Full Stack)
Build and own end-to-end product features for an AI-native platform that models company policies into an AI Data Model, enabling reliable AI agents for enterprises like Glovo and Nespresso.
Full-Stack AI Product Engineer
Build and ship AI-powered web apps and agents using LLMs, Python/Node.js, and cloud tools; integrate AI into marketing platforms and internal tools for measurable business impact.
Product Engineer (Full Stack) @ Shelf
Build and ship full-stack features for an AI-native platform that models enterprise workflows, using React/TypeScript on the frontend and Node.js/Python on the backend while leveraging AI tools daily.
Junior Data Engineer: Build Secure Data Pipelines
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
Applied AI Engineer (GTM)
Build AI agents and tools to automate GTM workflows for a media company, integrating with CRM and improving sales efficiency.
Full Stack Engineer, AI systems
Build AI-native workflows and agent systems that integrate LLMs, memory, and tools into production-grade features using Next.js, Python, and Node.js.
Azure AI Engineer
Build and deploy enterprise-grade AI agents and RAG systems on Azure, using Python, LangChain, and Azure OpenAI to power search and decision-support platforms.
AI Engineer
Build production-grade AI agents and orchestration systems to automate code generation, testing, deployment, and documentation for a non-human identity governance platform.
AI - Full Stack Engineer
Build and deploy AI-powered solutions on Microsoft Azure while developing full stack apps with React/.NET and Azure services for a waste-management and recycling company.
GenAI & NLP Lead Data Scientist - End-to-End AI Solutions
Lead a team to design, build, and deploy generative AI and NLP solutions for clients using Azure OpenAI and LangGraph, from scoping to production.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time microservices, and MLOps tooling using Python, cloud platforms, and frameworks like LangChain.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, real-time model serving, and MLOps tooling in Python and cloud platforms.