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.
Builds and maintains backend services and APIs that integrate AI/LLM models and third-party systems, using Python/Java and cloud-native tools.
Builds Flask web apps and Plotly Dash dashboards for banking analytics, integrates local LLMs and RAG pipelines, and automates risk/compliance workflows.
Build and maintain AI infrastructure, deploy systems, and troubleshoot hardware/software issues while supporting cross-functional teams with technical expertise.
Designs scalable, secure AI/ML and generative AI architectures for enterprises, defining data pipelines and MLOps to move AI initiatives from proof-of-concept to production.
Build AI-powered backend services for mental health therapeutics using LLMs and VLMs, owning the full lifecycle from prompt engineering to cloud deployment.
Builds and leads autonomous AI agents that automate complex tasks, integrating them with external tools and optimizing performance using Python.
Build and deploy production-ready AI features, collaborating with data scientists and engineers to turn ML concepts into scalable, reliable solutions.
Build and deploy AI-powered features like NLP models and LLM integrations for SaaS products used by Indonesian businesses.
Build and deploy AI-driven solutions to automate and optimize manufacturing processes, including computer vision and data analytics for quality inspection and production efficiency.
Build and maintain AI systems, automation, and internal web apps using React/Next.js, Python, and Supabase/PostgreSQL; troubleshoot integrations and deployments.
Build autonomous AI agents that automate and optimize digital marketing campaigns across Meta, Google Ads, and TikTok, using LLMs and real-time performance data.
Build and deploy LLM-based AI systems for banking, focusing on compliance and risk workflows with Python and ML/AI tooling.
Senior Solutions Architect embeds with clients to design and build production-grade GenAI systems in Python, owning architecture, trade-offs, and direct client communication.
Senior Solutions Architect embeds with clients to design and build production-grade Python and GenAI systems, owning architecture decisions and direct client communication.
Build and deploy enterprise-grade generative AI solutions for public-sector clients in the Middle East, integrating LLMs and RAG pipelines with cloud infrastructure.
Designs and builds cloud-based data pipelines and ML/GenAI models, trains and deploys them, and creates dashboards to support business operations and digital transformation.
Leads AI-driven projects to improve efficiency and revenue, managing pipelines and designing data taxonomies in a high-impact environment.
Designs and builds Retrieval-Augmented Generation (RAG) and agentic AI systems for HR, finance, and operations, integrating GenAI into enterprise workflows.
Senior AI Engineer builds and deploys consumer-facing AI systems on GCP: ML pipelines, LLMs, RAG, and recommendation engines using Python, BigQuery, Vertex AI, and vector search.
Build and deploy AI solutions on GCP for a global consumer-goods and retail company, using Python, BigQuery, Vertex AI, and LLMs to power customer analytics, personalization, and marketing systems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
