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Build and maintain reinforcement learning environments to test AI models' software engineering skills using MCP tools, focusing on bug fixes, feature implementation, and performance optimization.
Build and deploy generative-AI backends in Python, designing RAG pipelines, AI agents, and scalable cloud infrastructure on GCP while owning CI/CD, Docker/Kubernetes, and IaC.
Builds MCP servers and integrates apps into sandbox environments using Python, Docker, and Linux; focuses on stability via testing and debugging.
Senior Backend Engineer builds and maintains AI agent platform tools, focusing on MCP server integration, scalability, and security in a distributed environment.
Build backend services for Grafana’s AI-native data intelligence system, designing ingestion, storage, retrieval APIs, and agent integrations to power enterprise observability.
Designs and deploys cloud automation tooling, including AI-driven workflows, to streamline infrastructure management and service reliability.
Senior Backend Engineer builds and optimizes multi-tenant data services in .NET/C# and PostgreSQL for HR pay equity and compensation analytics, using AI agents for development and review.
Design and build automation, ETL, and AI-enabled workflows to provision, manage, and remediate cloud infrastructure using Python, Kubernetes, Docker, and AI tools.
Build and shape a greenfield event-based customer communications platform in Java/Spring Boot on Azure with Terraform, owning DevOps and scalable architecture while exploring Agentic AI in the SDLC.
Principal Backend Engineer builds and shapes the data/AI backend for a marketing automation platform, writing Python services on AWS serverless and leading Databricks medallion pipelines to power AI-assisted analyst workflows.
Build and scale the backend for an AI-driven retail intelligence platform, including an LLM-powered chatbot, agents, and large-scale data infrastructure used by top brands.
Designs and builds secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrates agentic AI workflows using LLM frameworks for automation and decision support.
Design and build secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrate agentic AI workflows using LLM frameworks for automation and decision support.
Builds and maintains scalable Python backend services for a financial-sector client, integrating generative-AI and NLP tools to automate workflows and analyze interactions.
Build and maintain internal web services using Angular/React, ensuring high-performance, scalable UIs with modern tooling and AI-assisted development practices.
Build and scale AI agents and GenAI workflows in Python/Node.js to boost developer productivity and software quality, integrating with CI/CD and vector databases.
Build and maintain high-scale internal services in Go, designing resilient distributed systems, ETL pipelines, and APIs while leveraging AI-assisted development tools.
Build native Android apps in Kotlin for a client, focusing on architecture, performance, and AI-assisted development with CI/CD and testing.
Principal Software Engineer leading GenAI application development, designing scalable AI pipelines, RAG systems, and agent frameworks to deploy LLM-based solutions in a regulated fintech environment.
Build and modernize trading and cash management systems using Java, cloud-native services, and applied AI tools for a global asset manager managing over $2 trillion.
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