Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Job Description We are seeking an experienced Backend Software Engineer with a strong software engineering foundation and a keen interest in Generative AI to join our expanding GenAI team. Why You'll Love Working…
This role involves conducting empirical computer science research and developing next-generation database and AI data infrastructure. The engineer will design and prototype high-performance data management systems using C, C++, Rust, or Go, while collaborating with academic institutions and internal product teams.
This Senior Python Developer role involves leading engineering teams to build and maintain enterprise-scale, mission-critical cloud applications. The position focuses heavily on integrating generative AI architectures, including RAG, AI agents, and vector databases, alongside standard cloud infrastructure and microservices practices.
Designs and maintains scalable data pipelines and platforms to enable analytics, AI, and generative AI solutions for a logistics company, covering ingestion, transformation, governance, and cloud deployment.
Full Stack Developer on a consultancy-assigned B2B SaaS project, building end-to-end AI-integrated features with Python, FastAPI, React, and Next.js, including on-prem deployments and LLM orchestration.
This role involves designing and maintaining scalable full-stack applications using the MERN stack, with a heavy focus on integrating Agentic AI, LLMs, and RAG pipelines. The developer will work with cloud-native technologies like AWS and Docker to build robust, automated systems.
The Senior Full-Stack Engineer will design and maintain scalable applications using Node.js, NestJS, and modern frontend frameworks like React. The role involves cloud-native development on AWS and implementing AI-driven features including LLMs and vector databases.
Data Engineer building large-scale pipelines to ingest and process unstructured documents, generate vector embeddings, and enable hybrid keyword/semantic search for national security analytical products.
Senior backend/data engineer owning end-to-end data pipelines, data modeling, and quality monitoring for a Singapore government agency, working with cloud-based data platforms and lakehouse-style architectures.
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will work primarily on the backend using Python or .NET, with occasional frontend tasks in React/Next.js, focusing on LLMs, RAG, and agent-based architectures.
This role involves building machine learning models, NLP tasks, and chatbot applications using Python, SQL, and Google Cloud's Vertex AI and Gemini. The data scientist will work on RAG applications and vector databases in a lean environment.
The Lead Generative AI Engineer will architect and deploy production-grade GenAI platforms, RAG pipelines, and agentic workflows. The role involves technical leadership, mentoring, and optimizing AI infrastructure using Python and modern LLM frameworks.
Principal AI Ops Architect designing and maintaining the production lifecycle of full-stack AI applications for government clients, focusing on system reliability, LLM observability, and sovereign data orchestration using Kubernetes, vector databases, and modern AI infrastructure.
Builds and deploys cloud-based generative AI applications in the Microsoft ecosystem, focusing on backend (Python/.NET) with React/Next.js for frontend needs, and owns full lifecycle of AI services like LLMs, RAG, and agent-based architectures.
Design and lead the build-out of a modern, real-time data platform for a large bank’s transaction banking unit, using Databricks, Spark, Kafka, and Azure to power analytics, AI, and regulatory reporting.
Design secure, scalable AI solution architectures (generative AI, RAG, ML) for Canada Life, producing architecture deliverables and guiding AI engineering teams using Azure AI services and Python.
The Senior Data Scientist will design and deploy machine learning and generative AI solutions to solve complex business challenges at WestJet. This role involves end-to-end model development, from data engineering and feature creation to production deployment and executive-level communication.
Senior AI Engineer at RBC building production agentic AI and generative AI systems — including MCP servers, RAG pipelines, and multi-agent workflows — using Python, LLMs, and cloud platforms.
Senior Data Scientist at WestJet-Airline in Calgary, Canada. Works on data-driven decision-making, develops advanced analytics and AI solutions, and collaborates with cross-functional teams using Python, SQL, machine learning, generative AI, and cloud platforms like Snowflake.
Designs and builds AI agentic workflows, integrating LLMs and foundation models into business solutions via orchestration, RAG pipelines, and tool integration. Focuses on workflow automation, prompt/context design, and production monitoring.
We couldn't check your fit for this role — add a CV to your profile to see it next time.