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Senior engineer builds and maintains API-driven integrations between enterprise systems like Salesforce, Oracle, and Snowflake to automate finance, CRM, and supply-chain workflows using MuleSoft, Python, and SQL.
Principal AI Engineer at Mitratech designs and builds AI-driven systems in Python, sets technical direction for multiple teams, and leads GenAI/LLM application development on AWS.
Senior Staff Backend Engineer building iFood's AI agents platform — designing APIs, SDKs, MCP Gateway, RAG pipelines, and LLM observability systems using Python, LangChain, Kubernetes, and AWS.
AI Engineer at Noma Security builds the internal AI function from scratch: LLM-powered agents, automation pipelines, MCP servers, and backend integrations (Salesforce, Slack) used company-wide, with end-to-end ownership from design through production monitoring. Core stack is Python, LLM APIs (Anthropic/OpenAI), MCP, REST/webhooks, and automation tools like n8n.
Hands-on Product Owner/Product Manager at Shiji Group in Barcelona, working across two AI product lines: translating AI strategy into epics, stories, and acceptance criteria for AI Core surfaces (AI Hub, MCP Hub, control planes, billing) and defining features and running delivery ceremonies for the Daylight AI Assistant using Agile/Scrum.
Senior Software Developer in Barcelona building AI tooling, agent infrastructure, and integration layers for Shiji's hotel technology platform. Day-to-day is Python backend work on AWS, heavy use of AI coding assistants, and developing agentic AI systems from PoC to production.
Senior backend developer joining a new Shiji Group team in Katowice building AI-driven products and platform infrastructure — AI tooling, agent infrastructure, and integration layers for the Shiji Enterprise Platform for hotels. Day-to-day work is primarily Python backend and cloud-native development on AWS, with heavy use of agentic AI frameworks and AI coding assistants.
Senior software engineer on Microsoft's Customer Data Platform Engineering team (Commercial Engineering & AI), designing, building, and operating full-stack applications, APIs, and large-scale data pipelines that power AI-enabled commercial scenarios. Core stack involves coding in languages like C#, Java, JavaScript, or Python, Azure cloud services, distributed systems, and AI/agentic tooling.
Location: Mumbai,, About the role: Heady is looking for an experienced, well-rounded Software Development Engineer In Test (SDET) to join our growing team. In this position, you will own responsibility for the quality…
Senior Manual QA Engineer designs and executes test plans for AI-powered platforms, using TestRail, Postman, and AI tools like Claude AI and MCP integrations to validate UI/API quality and mentor junior QA engineers.
Builds and scales the AI data platform for an investment-management SaaS, integrating secure APIs, vector databases, and model gateways to power real-time analytics and AI-driven features.
A Staff AI Software Engineer at Aircall designs and delivers AI-driven modules end to end in production — LLM-powered voice agents and assistants — while mentoring teammates and joining an on-call rotation. The stack includes TypeScript/Node.js, Python, Ruby/Rails, and React on AWS, with PostgreSQL, DynamoDB, OpenSearch, Redis, and hands-on LLM/Agentic AI work.
Staff backend/AI engineer on Aircall's AI Products Platform team, building scalable AI applications (agent context, agent infrastructure, MCP, agent memory) for 20,000+ customers. Core stack: Python/TypeScript/Java, LLM tooling (LangChain, LlamaIndex, RAG), and AWS.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype,…
Builds and deploys AI-powered services like LLM workflows, RAG pipelines, and agentic systems to improve PlayStation’s digital commerce and player-facing products using Python/Java and AWS.
Senior Data Engineer at Intellias building an Azure Databricks lakehouse for a global asset management client's enterprise data platform migration. Day to day: hands-on delivery of medallion pipelines (Delta Lake, Unity Catalog, structured streaming), data quality gates, CI/CD via Azure DevOps, and mentoring a mid-level engineer.
Senior DevOps Engineer at Intellias working on a delivery team for a financial-services client migrating to a Databricks-based Enterprise Data Platform on Azure. Day to day: build CI/CD with Azure DevOps and Databricks Asset Bundles, manage infrastructure with Terraform, and own environment promotion, observability, FinOps guardrails, and Azure identity/networking.
Build and deploy production-grade AI systems, including RAG and LLM applications, on AWS for a biotherapeutics company, ensuring compliance with regulated environments.
The Platform Engineer will build and maintain internal developer platforms, CI/CD pipelines, and infrastructure-as-code to support both traditional software and AI workloads. The role involves automating developer workflows, ensuring system reliability, and implementing observability and security standards.
Design and deliver enterprise-grade integration and automation solutions for Fortune 500 clients, advising on Workato’s platform, AI/agentic automation, and MCP-based architectures to drive measurable business outcomes.
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